subject:(Bayesian mixed stock analysis)

Texas A&M University

1. Smith, Brad 1979-. Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting.

Degree: PhD, Wildlife and Fisheries Sciences, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148241

► North Atlantic and South Atlantic swordfish (Xiphias gladius L.) are currently managed as two stocks separated at 5°N. While previous studies of genetic population structure… (more)

▼ North Atlantic and South Atlantic swordfish (Xiphias gladius L.) are currently managed as two stocks separated at 5°N. While previous studies of genetic population structure using both mitochondrial and nuclear DNA confirm two genetically distinct stocks, sampling coverage has not been uniform or representative of all areas and estimates of admixture in areas of contact have not been provided. In this study, we examined: 1) the applicability of high-resolution melting analysis (HRMA) in population genetic studies of non-model organisms, 2) the use of nuclear markers in Atlantic swordfish and the methodology whereby nuclear gene variation can be quickly screened, identified, and genotyped using short-amplicon (SA) HRMA and unlabeled probe (UP) HRMA, and 3) the use of HRMA to characterize nuclear markers to study the genetic population structure of Atlantic swordfish using representative samples of the entire basin to provide an estimation of population admixture by means of Bayesian individual assignment. High resolution melting analysis (HRMA) is shown to be a highly sensitive, rapid, closed-tube genotyping method amenable to high throughput and, though until recently primarily confined to clinical studies, suitable for population studies in non-model species. Ten nuclear markers were genotyped primarily by SA- and UP-HRMA in North Atlantic (n=419), South Atlantic (n=296), and Mediterranean (n=59) swordfish. Comparisons of pairwise FST, AMOVA, PCoA, and Bayesian individual assignments were congruent with previous finding of three discrete populations with comparatively low levels of estimated gene flow for a marine organism (FST = 0.039-0.126). Population admixture was identified and estimated in the Northeast Atlantic and appeared to be asymmetrical, with swordfish from the South Atlantic found among North Atlantic localities but no North Atlantic migrants identified in the South Atlantic. The Mediterranean boundary currently at the Strait of Gibraltar is found to extend west into Atlantic waters to approximately 8°W. Similarly, the boundary between North and South Atlantic swordfish should be revised to a line that extends north from 0°N 45°W to 25°N 45°W and from that position, as a nearly horizontal line, eastwards to the African coast. Finally, I show that Bayesian individual assignment using the developed marker set can be used for mixed stock allocation in the Northeast Atlantic. Advisors/Committee Members: Alvarado Bremer, Jaime R (advisor), Rooker, Jay R (committee member), Rowe, Gilbert T (committee member), Hurtado, Luis (committee member).

Subjects/Keywords: mixed stock analysis; Bayesian individual assignment; high resolution melting analysis; SNPs; genetic population structure; swordfish

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APA (6^th Edition):

Smith, B. 1. (2012). Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148241

Chicago Manual of Style (16^th Edition):

Smith, Brad 1979-. “Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting.” 2012. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2021. http://hdl.handle.net/1969.1/148241.

MLA Handbook (7^th Edition):

Smith, Brad 1979-. “Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting.” 2012. Web. 25 Feb 2021.

Vancouver:

Smith B1. Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/1969.1/148241.

Council of Science Editors:

Smith B1. Assessment of the Contemporary Population Structure and Admixture of Atlantic Swordfish (Xiphias gladius L.) via Mixed Stock Analysis and Bayesian Clustering of Multiple Nuclear SNPS Genotyped through High Resolution Melting. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148241

Delft University of Technology

2. De Groot, M. (author). Dutch Design Dock.

Degree: 2016, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:4b894e69-e19a-48bc-83fa-7c0d60386e9b

Redevelopment of the vacant Van Gendthallen in Amsterdam to the Dutch Design Dock by using reclaimed materials from waste flows of the city itself.

Architectural Engineering

Architecture

Architecture and The Built Environment

Advisors/Committee Members: Smit, M.J. (mentor), Jongert, J. (mentor), Meijs, M.H. (mentor).

Subjects/Keywords: redevelopment; reuse; reclamation; flow Analysis; stock; mixed use

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APA (6^th Edition):

De Groot, M. (. (2016). Dutch Design Dock. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4b894e69-e19a-48bc-83fa-7c0d60386e9b

Chicago Manual of Style (16^th Edition):

De Groot, M (author). “Dutch Design Dock.” 2016. Masters Thesis, Delft University of Technology. Accessed February 25, 2021. http://resolver.tudelft.nl/uuid:4b894e69-e19a-48bc-83fa-7c0d60386e9b.

MLA Handbook (7^th Edition):

De Groot, M (author). “Dutch Design Dock.” 2016. Web. 25 Feb 2021.

Vancouver:

De Groot M(. Dutch Design Dock. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Feb 25]. Available from: http://resolver.tudelft.nl/uuid:4b894e69-e19a-48bc-83fa-7c0d60386e9b.

Council of Science Editors:

De Groot M(. Dutch Design Dock. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:4b894e69-e19a-48bc-83fa-7c0d60386e9b

University of Central Florida

3. Reece, Joshua. Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida.

Degree: 2005, University of Central Florida

URL: https://stars.library.ucf.edu/etd/379

► Marine turtle conservation is most successful when it is based on sound data incorporating life history, historical population stability, and gene flow among populations. This… (more)

Subjects/Keywords: Markov Chain Monte Carlo; Bayesian mixed stock analysis; loggerhead; green turtle; hawksbill; juvenile recruitment; nested clade analysis; coalescense; Biology

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APA (6^th Edition):

Reece, J. (2005). Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida. (Masters Thesis). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/379

Chicago Manual of Style (16^th Edition):

Reece, Joshua. “Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida.” 2005. Masters Thesis, University of Central Florida. Accessed February 25, 2021. https://stars.library.ucf.edu/etd/379.

MLA Handbook (7^th Edition):

Reece, Joshua. “Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida.” 2005. Web. 25 Feb 2021.

Vancouver:

Reece J. Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida. [Internet] [Masters thesis]. University of Central Florida; 2005. [cited 2021 Feb 25]. Available from: https://stars.library.ucf.edu/etd/379.

Council of Science Editors:

Reece J. Historical Responses Of Marine Turtles To Global Climate Change And Juvenile Loggerhead Recruitment In Florida. [Masters Thesis]. University of Central Florida; 2005. Available from: https://stars.library.ucf.edu/etd/379

University of Georgia

4. Qin, xiaoting. Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/21649

► The objective of this study was to evaluate the performances of a mixed linear model under a frequentist and a Bayesian implementation for analysis of… (more)

Subjects/Keywords: Gene expression; Mixed linear model; Bayesian analysis; Affymetrix; Simulation

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APA (6^th Edition):

Qin, x. (2014). Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/21649

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Qin, xiaoting. “Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data.” 2014. Thesis, University of Georgia. Accessed February 25, 2021. http://hdl.handle.net/10724/21649.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Qin, xiaoting. “Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data.” 2014. Web. 25 Feb 2021.

Vancouver:

Qin x. Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10724/21649.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qin x. Comparison between frequentist and Bayesian implementation of mixed linear model for analysis of microarray data. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/21649

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Karakci, Ata. BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION.

Degree: PhD, Physics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386173/

► The detection of the primordial B-mode spectrum of the polarized cosmic microwave background (CMB) signal may provide a probe for inflation. However, the B-mode signal… (more)

▼ The detection of the primordial B-mode spectrum of the polarized cosmic microwave background (CMB) signal may provide a probe for inflation. However, the B-mode signal is orders of magnitude weaker than the temperature and E-mode signals. Observation of such faint signals requires excellent control of systematic errors. Interferometers may have certain advantages over imaging experiments in the control of systematic effects. Current and future high resolution cosmology observations, such as those that will be carried out by the QU Bolometric Interferometer for Cosmology (QUBIC), require computationally efficient data analysis techniques. Since the observed CMB signal can be interpreted as a single realization of a random process, CMB data is most suitably analyzed in a Bayesian, rather than frequentist, approach. In comparison to alternative methods of extracting power spectra, such as maximum likelihood and pseudo-Cl estimators, the method of Gibbs sampling has the advantage of providing simultaneous inference of power spectrum and signal with similar computational complexity. We demonstrate the application of Gibbs sampling to realistic interferometric observations, including an incomplete uv-coverage, finite beam size and baseline-dependent noise, of polarized signals. We present a complete simulation pipeline of interferometric observations of the CMB polarization to understand the effects of systematic errors. A realistic, QUBIC-like interferometer design is simulated with systematics that incorporate the effects of sky rotation. Several types of systematic errors are considered including antenna pointing, gain and coupling errors as well as beam cross-polarization and shape errors. The simulated data sets are analyzed by both the maximum likelihood method and the method of Gibbs sampling. The results from both methods have been found to be consistent with each other, as well as with the analytical estimations. Our simulations determine the required levels of control of systematic effects for a QUBIC-like interferometer, which targets the B-mode polarization signal. We show that the method of Gibbs sampling naturally extends to include a Bayesian foreground separation technique. We also demonstrate that the method can be further generalized to 3D power spectrum inference from interferometric data of the redshifted 21 cm HI line. Advisors/Committee Members: Tucker, Gregory (Director), Dell’Antonio, Ian (Reader), Koushiappas, Savvas (Reader).

Subjects/Keywords: bayesian analysis

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APA (6^th Edition):

Karakci, A. (2014). BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386173/

Chicago Manual of Style (16^th Edition):

Karakci, Ata. “BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION.” 2014. Doctoral Dissertation, Brown University. Accessed February 25, 2021. https://repository.library.brown.edu/studio/item/bdr:386173/.

MLA Handbook (7^th Edition):

Karakci, Ata. “BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION.” 2014. Web. 25 Feb 2021.

Vancouver:

Karakci A. BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2021 Feb 25]. Available from: https://repository.library.brown.edu/studio/item/bdr:386173/.

Council of Science Editors:

Karakci A. BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386173/

Victoria University of Wellington

6. Webber, D'Arcy. Modelling Complexity and Uncertainty in Fisheries Stock Assessment.

Degree: 2015, Victoria University of Wellington

URL: http://hdl.handle.net/10063/4810

► Stock assessment models are used to determine the population size of fish stocks. Although stock assessment models are complex, they still make simplifying assumptions. Generally,… (more)

▼ Stock assessment models are used to determine the population size of fish stocks. Although stock assessment models are complex, they still make simplifying assumptions. Generally, they treat each species separately, include little, if any, spatial structure, and may not adequately quantify uncertainty. These assumptions can introduce bias and can lead to incorrect inferences. This thesis is about more realistic models and their inference. This realism may be incorporated by explicitly modelling complex processes, or by admitting our uncertainty and modelling it correctly. We develop an agent-based model that can describe fish populations as a collection of individuals which differ in their growth, maturation, migration, and mortality. The aim of this model is to better capture the richness in natural processes that determine fish abundance and subsequent population response to anthropogenic removals. However, this detail comes at considerable computational cost. A single model run can take many hours, making inference using standard methods impractical. We apply this model to New Zealand snapper (Pagurus auratus) in northern New Zealand. Next, we developed an age-structured state-space model. We suggest that this sophisticated model has the potential to better represent uncertainty in stock assessment. However, it pushes the boundaries of the current practical limits of computing and we admit that its practical application remains limited until the MCMC mixing issues that we encountered can be resolved. The processes that underpin agent-based models are complex and we may need to seek new sources of data to inform these types of models. To make a start here we derive a state-space model to estimate the path taken by individual fish from the day they are tagged to the day of their recapture. The model uses environmental information collected using pop-up satellite archival tags. We use tag recorded depth and oceanographic temperature to estimate the location at any given time. We apply this model to Antarctic toothfish (Dissostichus mawsoni) in the Ross Sea. Finally, to reduce the computational burden of agent-based models we use Bayesian emulation. This approach replaces the simulation model with an approximating algorithm called an emulator. The emulator is calibrated using relatively few runs of the original model. A good emulator provides a close approximation to the original model and has significant speed gains. Thus, inferences become tractable. We have made the first steps towards developing a tractable approach to fisheries modelling in complex settings through the creation of realistic models, and their emulation. With further development, Bayesian emulation could result in the increased ability to consider and evaluate innovative methods in fisheries modelling. Future avenues for application and exploration range from spatial and multi species models, to ecosystem-based models and beyond. Advisors/Committee Members: Arnold, Richard, Dunn, Alistair, Pledger, Shirley.

Subjects/Keywords: Fisheries science; Stock assessment; Bayesian statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Webber, D. (2015). Modelling Complexity and Uncertainty in Fisheries Stock Assessment. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4810

Chicago Manual of Style (16^th Edition):

Webber, D'Arcy. “Modelling Complexity and Uncertainty in Fisheries Stock Assessment.” 2015. Doctoral Dissertation, Victoria University of Wellington. Accessed February 25, 2021. http://hdl.handle.net/10063/4810.

MLA Handbook (7^th Edition):

Webber, D'Arcy. “Modelling Complexity and Uncertainty in Fisheries Stock Assessment.” 2015. Web. 25 Feb 2021.

Vancouver:

Webber D. Modelling Complexity and Uncertainty in Fisheries Stock Assessment. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2015. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10063/4810.

Council of Science Editors:

Webber D. Modelling Complexity and Uncertainty in Fisheries Stock Assessment. [Doctoral Dissertation]. Victoria University of Wellington; 2015. Available from: http://hdl.handle.net/10063/4810

University of New South Wales

7. Cui, Xin. Bayesian learning, information diffusion, and the trading behavior in stock markets.

Degree: Banking & Finance, 2013, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/52745 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11418/SOURCE01?view=true

► I first develop a new approach based on Bayesian learning frame to estimate traders belief parameters. I assume that informed traders place market orders according… (more)

▼ I first develop a new approach based on Bayesian learning frame to estimate traders belief parameters. I assume that informed traders place market orders according to their beliefs. Informed traders and market makers make Bayesian inferences when they observe order flows, and they update beliefs to incorporate these inferences. Informed traders new beliefs prompt them to place new orders. This trading and belief-updating process can be summarized in a reduced form equation on order flows and price series, which enables me to estimate belief parameters that determine the order-price relations. I empirically test these parameters on S&P 500 stocks, and show that traders belief uncertainty and informational equality can explain daily bid ask spreads and stock returns. Secondly, I use the estimated belief parameters to investigate how price incorporates information following earnings announcements in the U.S. market. The Bayesian learning framework implies that informed trading drives market makers to gradually adjust the price, until price fully incorporates all the private signals of informed traders and informed trading complete disappears. I analogously call this process an information shockwave. The information shockwave story explains the price dynamics following earnings announcements. I further show that information asymmetry is more severe following earnings announcements because market makers belief uncertainty increases more than that of informed traders. Lastly, I investigate how traders respond to information asymmetry. Prior literature has proposed two views on traders response: (i) rational expectation view, and (ii) agree to disagree view. These two views can be theoretically reconciled under Bayesian learning framework. The empirical question I answer is: which view better captures traders overall behavior? I investigate the order flow relations in Chinese market, whose data enable me to analyze both market and limit orders. The findings show that liquidity traders in one side of the market are more willing to provide liquidity if the other side of the market demands liquidity. It indicates that agree to disagree view provides a better picture of traders behavior. Advisors/Committee Members: Tian, Gloria Yuan, Banking & Finance, Australian School of Business, UNSW.

Subjects/Keywords: Stock markets; Bayesian learning; Information asymmetry

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APA (6^th Edition):

Cui, X. (2013). Bayesian learning, information diffusion, and the trading behavior in stock markets. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52745 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11418/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Cui, Xin. “Bayesian learning, information diffusion, and the trading behavior in stock markets.” 2013. Doctoral Dissertation, University of New South Wales. Accessed February 25, 2021. http://handle.unsw.edu.au/1959.4/52745 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11418/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Cui, Xin. “Bayesian learning, information diffusion, and the trading behavior in stock markets.” 2013. Web. 25 Feb 2021.

Vancouver:

Cui X. Bayesian learning, information diffusion, and the trading behavior in stock markets. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2021 Feb 25]. Available from: http://handle.unsw.edu.au/1959.4/52745 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11418/SOURCE01?view=true.

Council of Science Editors:

Cui X. Bayesian learning, information diffusion, and the trading behavior in stock markets. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52745 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11418/SOURCE01?view=true

Texas A&M University

8. Lin, Honghuang. Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits.

Degree: PhD, Computer Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157974

► Over the past few decades, the tremendous growth in the complexity of analog and mixed-signal (AMS) systems has posed great challenges to AMS verification, resulting… (more)

▼ Over the past few decades, the tremendous growth in the complexity of analog and mixed-signal (AMS) systems has posed great challenges to AMS verification, resulting in a rapidly growing verification gap. Existing formal methods provide appealing completeness and reliability, yet they suffer from their limited efficiency and scalability. Data oriented machine learning based methods offer efficient and scalable solutions but do not guarantee completeness or full coverage. Additionally, the trend towards shorter time to market for AMS chips urges the development of efficient verification algorithms to accelerate with the joint design and testing phases. This dissertation envisions a hierarchical and hybrid AMS verification framework by consolidating assorted algorithms to embrace efficiency, scalability and completeness in a statistical sense. Leveraging diverse advantages from various verification techniques, this dissertation develops algorithms in different categories. In the context of formal methods, this dissertation proposes a generic and comprehensive model abstraction paradigm to model AMS content with a unifying analog representation. Moreover, an algorithm is proposed to parallelize reachability analysis by decomposing AMS systems into subsystems with lower complexity, and dividing the circuit's reachable state space exploration, which is formulated as a satisfiability problem, into subproblems with a reduced number of constraints. The proposed modeling method and the hierarchical parallelization enhance the efficiency and scalability of reachability analysis for AMS verification. On the subject of learning based method, the dissertation proposes to convert the verification problem into a binary classification problem solved using support vector machine (SVM) based learning algorithms. To reduce the need of simulations for training sample collection, an active learning strategy based on probabilistic version space reduction is proposed to perform adaptive sampling. An expansion of the active learning strategy for the purpose of conservative prediction is leveraged to minimize the occurrence of false negatives. Moreover, another learning based method is proposed to characterize AMS systems with a sparse Bayesian learning regression model. An implicit feature weighting mechanism based on the kernel method is embedded in the Bayesian learning model for concurrent quantification of influence of circuit parameters on the targeted specification, which can be efficiently solved in an iterative method similar to the expectation maximization (EM) algorithm. Besides, the achieved sparse parameter weighting offers favorable assistance to design analysis and test optimization. Advisors/Committee Members: Li, Peng (advisor), Choi, Gwan (committee member), Palermo, Samuel (committee member), Walker, Duncan M. (committee member).

Subjects/Keywords: Analog and mixed-signal verification; formal verification; parallel reachability analysis; learning based verification; active learning; sparse Bayesian learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lin, H. (2016). Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157974

Chicago Manual of Style (16^th Edition):

Lin, Honghuang. “Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits.” 2016. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2021. http://hdl.handle.net/1969.1/157974.

MLA Handbook (7^th Edition):

Lin, Honghuang. “Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits.” 2016. Web. 25 Feb 2021.

Vancouver:

Lin H. Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/1969.1/157974.

Council of Science Editors:

Lin H. Algorithms for Verification of Analog and Mixed-Signal Integrated Circuits. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157974

9. Pacce, Matías José. Essays on Business Cycles Fluctuations and Forecasting Methods .

Degree: 2017, University of Alicante

URL: http://hdl.handle.net/10045/71346

► This doctoral dissertation proposes methodologies which, from a linear or a non-linear approach, accommodate to the information flow and can deal with a large amount… (more)

Subjects/Keywords: Business Cycles; Mixed Frequency Data; Bayesian Estimation; Markov-switching; International Business Cycles; Spillover effects; Tourism; Big Data Analysis; Time Series

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APA (6^th Edition):

Pacce, M. J. (2017). Essays on Business Cycles Fluctuations and Forecasting Methods . (Thesis). University of Alicante. Retrieved from http://hdl.handle.net/10045/71346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Pacce, Matías José. “Essays on Business Cycles Fluctuations and Forecasting Methods .” 2017. Thesis, University of Alicante. Accessed February 25, 2021. http://hdl.handle.net/10045/71346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Pacce, Matías José. “Essays on Business Cycles Fluctuations and Forecasting Methods .” 2017. Web. 25 Feb 2021.

Vancouver:

Pacce MJ. Essays on Business Cycles Fluctuations and Forecasting Methods . [Internet] [Thesis]. University of Alicante; 2017. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10045/71346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pacce MJ. Essays on Business Cycles Fluctuations and Forecasting Methods . [Thesis]. University of Alicante; 2017. Available from: http://hdl.handle.net/10045/71346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of South Florida

10. Chen, Ren. Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data.

Degree: 2012, University of South Florida

URL: https://scholarcommons.usf.edu/etd/4298

► Statistical models have greatly improved our understanding of the pathogenesis of HIV-1 infection and guided for the treatment of AIDS patients and evaluation of antiretroviral… (more)

▼ Statistical models have greatly improved our understanding of the pathogenesis of HIV-1 infection and guided for the treatment of AIDS patients and evaluation of antiretroviral (ARV) therapies. Although various statistical modeling and analysis methods have been applied for estimating the parameters of HIV dynamics via mixed-effects models, a common assumption of distribution is normal for random errors and random-effects. This assumption may lack the robustness against departures from normality so may lead misleading or biased inference. Moreover, some covariates such as CD4 cell count may be often measured with substantial errors. Bivariate clustered (correlated) data are also commonly encountered in HIV dynamic studies, in which the data set particularly exhibits skewness and heavy tails. In the literature, there has been considerable interest in, via tangible computation methods, comparing different proposed models related to HIV dynamics, accommodating skewness (in univariate) and covariate measurement errors, or considering skewness in multivariate outcomes observed in longitudinal studies. However, there have been limited studies that address these issues simultaneously. One way to incorporate skewness is to use a more general distribution family that can provide flexibility in distributional assumptions of random-effects and model random errors to produce robust parameter estimates. In this research, we developed Bayesian hierarchical models in which the skewness was incorporated by using skew-elliptical (SE) distribution and all of the inferences were carried out through Bayesian approach via Markov chain Monte Carlo (MCMC). Two real data set from HIV/AIDS clinical trial were used to illustrate the proposed models and methods. This dissertation explored three topics. First, with an SE distribution assumption, we compared models with different time-varying viral decay rate functions. The effect of skewness on the model fitting was also evaluated. The associations between the estimated decay rates based on the best fitted model and clinical related variables such as baseline HIV viral load, CD4 cell count and longterm response status were also evaluated. Second, by jointly modeling via a Bayesian approach, we simultaneously addressed the issues of outcome with skewness and a covariate process with measurement errors. We also investigated how estimated parameters were changed under linear, nonlinear and semiparametric mixed-effects models. Third, in order to accommodate individual clustering within subjects as well as the correlation between bivariate measurements such as CD4 and CD8 cell count measured during the ARV therapies, bivariate linear mixed-effects models with skewed distributions were investigated. Extended underlying normality assumption with SE distribution assumption was proposed. The impacts of different distributions in SE family on the model fit were also evaluated and compared. Real data sets from AIDS clinical trial studies were used to illustrate the proposed methodologies based on the…

Subjects/Keywords: Bayesian analysis; HIV dynamics; Markov chain Monte Carlo; mixed-effects model; Skewed distribution; Biostatistics; Medicine and Health Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chen, R. (2012). Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/4298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chen, Ren. “Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data.” 2012. Thesis, University of South Florida. Accessed February 25, 2021. https://scholarcommons.usf.edu/etd/4298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chen, Ren. “Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data.” 2012. Web. 25 Feb 2021.

Vancouver:

Chen R. Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data. [Internet] [Thesis]. University of South Florida; 2012. [cited 2021 Feb 25]. Available from: https://scholarcommons.usf.edu/etd/4298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen R. Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data. [Thesis]. University of South Florida; 2012. Available from: https://scholarcommons.usf.edu/etd/4298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of South Florida

11. Xing, Dongyuan. Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data.

Degree: 2015, University of South Florida

URL: https://scholarcommons.usf.edu/etd/5802

► Substance use data such as alcohol drinking often contain a high proportion of zeros. In studies examining the alcohol consumption in college students, for instance,… (more)

▼ Substance use data such as alcohol drinking often contain a high proportion of zeros. In studies examining the alcohol consumption in college students, for instance, many students may not drink in the studied period, resulting in a number of zeros. Zero-inflated continuous data, also called semi continuous data, typically consist of a mixture of a degenerate distribution at the origin (zero) and a right-skewed, continuous distribution for the positive values. Ignoring the extreme non-normality in semi-continuous data may lead to substantially biased estimates and inference. Longitudinal or repeated measures of semi-continuous data present special challenges in statistical inference because of the correlation tangled in the repeated measures on the same subject. Linear mixed-eects models (LMM) with normality assumption that is routinely used to analyze correlated continuous outcomes are inapplicable for analyzing semi-continuous outcome. Data transformation such as log transformation is typically used to correct the non-normality in data. However, log-transformed data, after the addition of a small constant to handle zeros, may not successfully approximate the normal distribution due to the spike caused by the zeros in the original observations. In addition, the reasons that data transformation should be avoided include: (i) transforming usually provides reduced information on an underlying data generation mechanism; (ii) data transformation causes diculty in regard to interpretation of the transformed scale; and (iii) it may cause re-transformation bias. Two-part mixed-eects models with one component modeling the probability of being zero and one modeling the intensity of nonzero values have been developed over the last ten years to analyze the longitudinal semi-continuous data. However, log transformation is still needed for the right-skewed nonzero continuous values in the two-part modeling. In this research, we developed Bayesian hierarchical models in which the extreme non-normality in the longitudinal semi-continuous data caused by the spike at zero and right skewness was accommodated using skew-elliptical (SE) distribution and all of the inferences were carried out through Bayesian approach via Markov chain Monte Carlo (MCMC). The substance abuse/dependence data, including alcohol abuse/dependence symptoms (AADS) data and marijuana abuse/dependence symptoms (MADS) data from a longitudinal observational study, were used to illustrate the proposed models and methods. This dissertation explored three topics: First, we presented one-part LMM with skew-normal (SN) distribution under Bayesian framework and applied it to AADS data. The association between AADS and gene serotonin transporter polymorphism (5-HTTLPR) and baseline covariates was analyzed. The results from the proposed model were compared with those from LMMs with normal, Gamma and LN distributional assumptions. Simulation studies were conducted to evaluate the performance of the proposed models. We concluded that the LMM with SN distribution not only…

Subjects/Keywords: Two-part mixed-effects model; Substance abuse/dependence symptoms data; Bayesian analysis; Skewed distributions; Semi-continuous longitudinal data; Biostatistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xing, D. (2015). Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/5802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xing, Dongyuan. “Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data.” 2015. Thesis, University of South Florida. Accessed February 25, 2021. https://scholarcommons.usf.edu/etd/5802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xing, Dongyuan. “Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data.” 2015. Web. 25 Feb 2021.

Vancouver:

Xing D. Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data. [Internet] [Thesis]. University of South Florida; 2015. [cited 2021 Feb 25]. Available from: https://scholarcommons.usf.edu/etd/5802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xing D. Bayesian Inference on Longitudinal Semi-continuous Substance Abuse/Dependence Symptoms Data. [Thesis]. University of South Florida; 2015. Available from: https://scholarcommons.usf.edu/etd/5802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Tulane University

12. Aleksandra Gorzycka. Bayesian Updating and Statistical Inference for Beta-binomial Models.

Degree: 2018, Tulane University

URL: https://digitallibrary.tulane.edu/islandora/object/tulane:81679

►

The Beta-binomial distribution is often employed as a model for count data in cases where the observed dispersion is greater than would be expected for… (more)

Subjects/Keywords: Statistics; Bayesian Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gorzycka, A. (2018). Bayesian Updating and Statistical Inference for Beta-binomial Models. (Thesis). Tulane University. Retrieved from https://digitallibrary.tulane.edu/islandora/object/tulane:81679

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gorzycka, Aleksandra. “Bayesian Updating and Statistical Inference for Beta-binomial Models.” 2018. Thesis, Tulane University. Accessed February 25, 2021. https://digitallibrary.tulane.edu/islandora/object/tulane:81679.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gorzycka, Aleksandra. “Bayesian Updating and Statistical Inference for Beta-binomial Models.” 2018. Web. 25 Feb 2021.

Vancouver:

Gorzycka A. Bayesian Updating and Statistical Inference for Beta-binomial Models. [Internet] [Thesis]. Tulane University; 2018. [cited 2021 Feb 25]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:81679.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gorzycka A. Bayesian Updating and Statistical Inference for Beta-binomial Models. [Thesis]. Tulane University; 2018. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:81679

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University

13. Wan, Muting. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.

Degree: PhD, Statistics, 2015, Cornell University

URL: http://hdl.handle.net/1813/39389

► In recent years, sparse classification problems have emerged in many fields of study. Finite mixture models have been developed to facilitate Bayesian inference where parameter… (more)

▼ In recent years, sparse classification problems have emerged in many fields of study. Finite mixture models have been developed to facilitate Bayesian inference where parameter sparsity is substantial. Shrinkage estimation allows strength borrowing across features in light of the parallel nature of multiple hypothesis tests. Important examples that incorporate shrinkage estimation and finite mixture model for sparse classification include the hierarchical model in Smyth (2004) and the explicit mixture model in Bar et al. (2010) for Bayesian microarray analysis. Classification with finite mixture models is based on the posterior expectation of latent indicator variables. These quantities are typically estimated using the expectation-maximization (EM) algorithm in an empirical Bayes approach or Markov chain Monte Carlo (MCMC) in a fully Bayesian approach. MCMC is limited in applicability where high-dimensional data are involved because its sampling-based nature leads to slow computations and hard-to-monitor convergence. In a fully Bayesian framework, we investigate the feasibility and performance of variational Bayes (VB) approximation and apply the VB approach to fully Bayesian versions of several finite mixture models that have been proposed in bioinformatics. We find that it achieves desirable speed and accuracy in sparse classification with hierarchical mixture models for high-dimensional data. Another example of sparse classification in bioinformatics solvable via model-based approaches is expression quantitative trait loci (eQTL) detection, in which determining whether association between a gene and any given single nucleotide polymorphism (SNP) is significant is regarded as classifying genes as null or non-null with respect to the given SNP. High-dimensionality of the data not only causes difficulties in computations, but also renders the confounding impact of unwanted variation in the data irrefutable. Model-based approaches that account for unwanted variation by incorporating a factor analysis term representing hidden factors and their effects have been adopted in applications such as differential analysis and eQTL detection. HEFT (Gao et al., 2014) is a fast approach for model-based eQTL identification while simultaneously learning hidden effects. We develop a hierarchical mixture model-based empirical Bayes approach for sparse classification while simultaneously accounting for unwanted variation, as well as a family of model-based approaches that are its simplifications with the aim of attractive computational efficiency. We investigate feasibility and performance of these model-based approaches in comparison with HEFT using several real data examples in bioinformatics. Advisors/Committee Members: Booth, James (chair), Hooker, Giles J. (committee member), Wells, Martin Timothy (committee member).

Subjects/Keywords: Bayesian inference; Linear mixed models; Bioinformatics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wan, M. (2015). Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39389

Chicago Manual of Style (16^th Edition):

Wan, Muting. “Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.” 2015. Doctoral Dissertation, Cornell University. Accessed February 25, 2021. http://hdl.handle.net/1813/39389.

MLA Handbook (7^th Edition):

Wan, Muting. “Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics.” 2015. Web. 25 Feb 2021.

Vancouver:

Wan M. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/1813/39389.

Council of Science Editors:

Wan M. Model-Based Classification With Applications To High-Dimensional Data In Bioinformatics. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39389

NSYSU

14. Ieong, KuongCheong. The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market.

Degree: Master, Information Management, 2007, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620107-163418

► Stock Market is always being the most important role in modern capital market. And Stock Market is becoming one the most popular investment tools these… (more)

▼ Stock Market is always being the most important role in modern capital market. And Stock Market is becoming one the most popular investment tools these days. Because of the Globalization of capital markets, the spreading of capital becomes faster and easier. The development of capital markets evoke the interesting of scholars and the field of stock market prediction attract scholars and researchers from different background. There are two approaches of predicting stock market - fundamental analysis and technical analysis. The purpose of my work was to predict three stock markets in the world, namely Taiwan Weighted Index (IDXWT), Hong Kong Hang Seng Index (HSI) and Dow Jones Industrial Average (DJI) using technical analysis and Dynamic Bayesian Network (DBN).This thesis is based on Wangâs thesis [Wan05] âInvestment Decision Support with Dynamic Bayesian Networksâ. According to different characteristic of 3 stock markets, we divide 3 different markets into 3 experiments. For each market, we expect we can find the best indicators and trading signals. The first experiment involves Taiwan Weighted Index as our prediction target; the second one uses Hong Kong Hang Seng Index and the third experiment employs Dow Jones Industrial Average. As a result, Taiwan Stock market (both 15-day and 20-day Moving Average)can make higher returns than buy-and-hold, RSI_6 and KD. And we also have the same conclusion of Hang Seng Index and Dow Jones Industrial Average. The best return from 15-day MA and 20-day MA of Taiwan Stock market is 47.95% and 60.21%, respectively. Moreover, the best result of Hang Seng Index is 60.06% for 4 years and 25.83% for Dow Jones Industrial Average. All of the best results can make higher returns than each of their buy-and-hold, RSI_6 and KD. In the conclusion, we may say that this paper can provide a direction to investors while they are using these technical indicators to predict these particular stock markets. Advisors/Committee Members: BingChiang Jeng (committee member), Yuh-Jiuan Tsay (chair), Yao-tsung Chen (chair), Wei-Po Lee (chair), Chia-Mei Chen (committee member).

Subjects/Keywords: stock market prediction; technical analysis; dynamic bayesian network; data mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ieong, K. (2007). The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620107-163418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ieong, KuongCheong. “The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market.” 2007. Thesis, NSYSU. Accessed February 25, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620107-163418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ieong, KuongCheong. “The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market.” 2007. Web. 25 Feb 2021.

Vancouver:

Ieong K. The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market. [Internet] [Thesis]. NSYSU; 2007. [cited 2021 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620107-163418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ieong K. The empirical study of applying Technical Analysis on DJI, HSI and Taiwan Stock Market. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620107-163418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Philibert, Aurore. Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils.

Degree: Docteur es, Sciences de l'Environnement, 2012, Paris, AgroParisTech

URL: http://www.theses.fr/2012AGPT0072

► Le terme de méta-analyse désigne l'analyse statique d'un large ensemble de résultats provenant d'études individuelles pour un même sujet donné. Cette approche est de plus… (more)

▼ Le terme de méta-analyse désigne l'analyse statique d'un large ensemble de résultats provenant d'études individuelles pour un même sujet donné. Cette approche est de plus en plus étudiée dans différents domaines, notamment en agronomie. Dans cette discipline, une revue bibliographique réalisée dans le cadre de la thèse a cependant montré que les méta-analyses n'étaient pas toujours de bonne qualité. Les méta-analyses effectuées en agronomie étudient ainsi très rarement la robustesse de leurs conclusions aux données utilisées et aux méthodes statistiques. L'objectif de cette thèse est de démontrer et d'illustrer l'importance des analyses de sensibilité dans le cadre de la méta-analyse en s'appuyant sur l'exemple de l'estimation des émissions de N2O provenant des sols agricoles. L'estimation des émissions de protoxyde d'azote (N2O) est réalisée à l'échelle mondaile par le Groupe d'experts intergouvernemental sur l'évolution du climat (GIEC). Le N2O est un puissant gaz à effet de serre avec un pouvoir de réchauffement 298 fois plus puissant que le CO2 sur une période de 100 ans. Les émissions de N2O ont la particularité de présenter une forte variabilité spatiale et temporelle. Deux bases de données sont utilisées dans ce travail : la base de données de Rochette et Janzen (2005) et celle de Stehfest et Bouwman (2006). Elles recensent de nombreuses mesures d'émissions de N2O réparties dans le monde provenant d'études publiées et ont joué un rôle important lors des estimations d'émissions de N2O réalisées par le GIEC. Les résultats montrent l'intérêt des modèles à effets aléatoires pour estimer les émissions de NO2 issues de sols agricoles. Ils sont bien adaptés à la structure des données (observations répétées sur un même site pour différentes doses d'engrais, avec plusieurs sites considérés). Ils permettent de distinguer la variabilité inter-sites de la variabilité intra-site et d'estimer l'effet de la dose d'engrais azoté sur les émissions de NO2. Dans ce mémoire, l'analyse de la sensibilité des estimations à la forme de la relation "Emission de N2O / Dose d'engrais azoté" a montré qu'une relation exponentielle était plus adaptée. Il apparait ainsi souhaitable de remplacer le facteur d'émission constant du GIEC (1% d'émission quelque soit la dose d'engrais azoté) par un facteur variable qui augmenterait en fonction de la dose. Nous n'avons par contre pas identifié de différence importante entre les méthodes d'inférence fréquentiste et bayésienne. Deux approches ont été proposées pour inclure des variables de milieu et de pratiques culturales dans les estimations de N2O. La méthode Random Forest permet de gérer les données manquantes et présente les meilleures prédictions d'émission de N2O. Les modèles à effets aléatoires permettent eux de prendre en compte ces variables explicatives par le biais d'une ou plusieurs mesures d'émission de N2O. Cette méthode permet de prédire les émissions de N2O pour des doses non testées comme le cas non fertilisé en parcelles agricoles. Les résultats de cette méthode sont cependant… Advisors/Committee Members: Makowski, David (thesis director).

Subjects/Keywords: Meta-analyse; Analyse de sensibilité; Fertilisation azotée; Modèles mixtes; Protoxyde d\'azote; Statistique Bayesienn; Meta-analysis; Sensitivity analysis; Nitrogen fertilisation; Mixed models; Nitrous oxide; Bayesian statistics; 628.55

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Philibert, A. (2012). Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils. (Doctoral Dissertation). Paris, AgroParisTech. Retrieved from http://www.theses.fr/2012AGPT0072

Chicago Manual of Style (16^th Edition):

Philibert, Aurore. “Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils.” 2012. Doctoral Dissertation, Paris, AgroParisTech. Accessed February 25, 2021. http://www.theses.fr/2012AGPT0072.

MLA Handbook (7^th Edition):

Philibert, Aurore. “Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils.” 2012. Web. 25 Feb 2021.

Vancouver:

Philibert A. Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils. [Internet] [Doctoral dissertation]. Paris, AgroParisTech; 2012. [cited 2021 Feb 25]. Available from: http://www.theses.fr/2012AGPT0072.

Council of Science Editors:

Philibert A. Méthodes de méta-analyse pour l’estimation des émissions de N2O par les sols agricoles : Meta-analysis methods to estimate N2O emissions from agricultural soils. [Doctoral Dissertation]. Paris, AgroParisTech; 2012. Available from: http://www.theses.fr/2012AGPT0072

NSYSU

16. Cheng, Yu-Jen. On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization.

Degree: PhD, Business Management, 2003, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625103-134843

► This dissertation explores the issues of mixed oligopoly, restructuring, and M&A that occurs in turn on the stages of policy set-up, preparation, and performing when… (more)

▼ This dissertation explores the issues of mixed oligopoly, restructuring, and M&A that occurs in turn on the stages of policy set-up, preparation, and performing when the government attempt to privatize the state-owned enterprises (SOEs). On the policy set-up stage, private firms in domestic market are not necessary confined to originate at home country. Foreign private firms may establish an oversea subsidiary and create a mixed oligopoly market structure at home country. In addition, those foreign private firms may not passively accept all the trade policies that came from the government decision of home country. Mixed oligopoly competition between one domestic public firm and one subsidiary of foreign private firm is been formulated to investigate the following questions: (1) how the agents compete under the cases that home country government adopts policies such as corporate tax rate, repatriation tax rate, and partial offering public stocks; and the foreign private firm implements strategies such as vertical integration and transfer pricing; (2) the impact on social welfare and the decision of optimal public stock-offering ratio while home country governmentâs policies and foreign private firmâs strategies have changed. New findings include (1) Home country government can not maximize social welfare by simply adopting strategic policies; (2) For home country government, the best strategy for privatizing SOEs maybe partial privatization; (3) For home country government, âmass privatizationâ should be avoided as the means of manipulating domestic market shares. On the preparation stage, an incentive scheme model is designed to analyze the governance mechanism for improving SOEsâ situation. First, different types of SOEs are classified according to their own ability and the employeesâ attitude for privatization. By offering a sound device of incentive scheme, the government is able to strengthen the SOEsâ ability and employeesâ desirability. Within a one-stage symmetric information game framwork, it proves that SOEs with high ability and their employees with high privatization desirability can implement the highest amount of public stock offering ratio. Next, it utilizes a two-stage asymmetric game model for discussing how to improve the SOEsâ ability and how to encourage the employees to support privatization. By providing an incentive contract, the government not only can coerce the SOEs but also can inspire their employees to reveal their true information. The due process of public stock offering is able to strengthen the abilities of SOEs via ârestructuringâ on the one hand, and to facilitate the issue of âtraining subsidiesâ for hatching the entrepreneurship of employees on the other hand. Finally, it investigates the impact on public stock offering ratio for the amount of specific grants, and found that the more generosity of incentive contract, the higher the public stock offering ratio. On the performing stage, it adopts the incentive theorem to analyze the outcome of SOEsâ privatization by inviting a named… Advisors/Committee Members: none (chair), none (chair), none (chair), none (committee member), none (committee member), none (chair).

Subjects/Keywords: Perfect Bayesian Equilibrium; Privatization; Mixed Oligopoly; Bonus-sharing and Employees Stock Ownership Plan; Incentive contract; Asymmetric Information; Public Stock offering Ratio; Transfer Price

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cheng, Y. (2003). On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625103-134843

Chicago Manual of Style (16^th Edition):

Cheng, Yu-Jen. “On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization.” 2003. Doctoral Dissertation, NSYSU. Accessed February 25, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625103-134843.

MLA Handbook (7^th Edition):

Cheng, Yu-Jen. “On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization.” 2003. Web. 25 Feb 2021.

Vancouver:

Cheng Y. On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization. [Internet] [Doctoral dissertation]. NSYSU; 2003. [cited 2021 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625103-134843.

Council of Science Editors:

Cheng Y. On the Governance and Incentive Mechanism of State-owned Enterprisesâ Privatization. [Doctoral Dissertation]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625103-134843

Baylor University

17. Sides, Ryan A. Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.

Degree: PhD, Statistical Sciences., 2014, Baylor University

URL: http://hdl.handle.net/2104/8922

► Sample size determination continues to be an important research area in statistical analysis due to the cost and time constraints that often exist in areas… (more)

Subjects/Keywords: Bayesian sample size determination.; Binomial sample size determination.; Poisson sample size determination.; Expected Bayesian power.; Expected Bayesian significance level.; Mixed treatment comparisons meta-analysis.; Indirect comparisons.; Underreporting in Poisson data models.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sides, R. A. (2014). Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/8922

Chicago Manual of Style (16^th Edition):

Sides, Ryan A. “Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.” 2014. Doctoral Dissertation, Baylor University. Accessed February 25, 2021. http://hdl.handle.net/2104/8922.

MLA Handbook (7^th Edition):

Sides, Ryan A. “Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.” 2014. Web. 25 Feb 2021.

Vancouver:

Sides RA. Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory. [Internet] [Doctoral dissertation]. Baylor University; 2014. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/2104/8922.

Council of Science Editors:

Sides RA. Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory. [Doctoral Dissertation]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/8922

Princeton University

18. Shiraito, Yuki. Essays in Political Methodology .

Degree: PhD, 2017, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp01wd375z938

► This collection of essays studies Bayesian statistical models for data analysis in political science. The first chapter proposes a nonparametric Bayesian approach that uncovers heterogeneous… (more)

▼ This collection of essays studies Bayesian statistical models for data analysis in political science. The first chapter proposes a nonparametric Bayesian approach that uncovers heterogeneous treatment effects even when moderators are unobserved. The method employs a Dirichlet process mixture model to estimate the distribution of treatment effects, and it is applicable to any setting in which regression models are used for causal inference. An application to a study on resource curse also shows that the method finds the subset of observations for which the monotonicity assumption is likely to hold. The second chapter proposes a new topic model for analyzing plagiarism. Text is modeled as a mixture of words copied from the plagiarized source and words drawn from a new distribution, and the model provides estimated probabilities of plagiarism for each word. An application to the corpus of preferential trade arrangements shows the utility of the model by describing how the likelihood of plagiarism varies across topics. The third chapter develops an n-gram based topic model for analyzing citations and text. It introduces a latent variable indicating whether each token is in the positive or negative mode and assumes dependence between the mode of citation and its previous terms. An application to the data set of the WTO dispute settlement mechanism shows that the conclusion of an existing study using the same data may hold only in some issues. The fourth chapter (coauthored with Gabriel Lopez-Moctezuma and Devin Incerti) reexamines resource curse using the Bayesian dynamic linear model (DLM). The DLM models both temporal dependence in the data and the evolution of parameters. The results show that there is a negative relationship between oil income and the level of democracy only after the 1970s, which coincides with the Arab oil embargo and the nationalization of the oil industry in major oil-exporting countries. Advisors/Committee Members: Imai, Kosuke (advisor).

Subjects/Keywords: Bayesian nonparametrics; Bayesian statistics; Methodology; Text analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shiraito, Y. (2017). Essays in Political Methodology . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01wd375z938

Chicago Manual of Style (16^th Edition):

Shiraito, Yuki. “Essays in Political Methodology .” 2017. Doctoral Dissertation, Princeton University. Accessed February 25, 2021. http://arks.princeton.edu/ark:/88435/dsp01wd375z938.

MLA Handbook (7^th Edition):

Shiraito, Yuki. “Essays in Political Methodology .” 2017. Web. 25 Feb 2021.

Vancouver:

Shiraito Y. Essays in Political Methodology . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2021 Feb 25]. Available from: http://arks.princeton.edu/ark:/88435/dsp01wd375z938.

Council of Science Editors:

Shiraito Y. Essays in Political Methodology . [Doctoral Dissertation]. Princeton University; 2017. Available from: http://arks.princeton.edu/ark:/88435/dsp01wd375z938

University of Manchester

19. Li, Qiuju. Statistical inference for joint modelling of longitudinal and survival data.

Degree: PhD, 2014, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632217

► In longitudinal studies, data collected within a subject or cluster are somewhat correlated by their very nature and special cares are needed to account for… (more)

▼ In longitudinal studies, data collected within a subject or cluster are somewhat correlated by their very nature and special cares are needed to account for such correlation in the analysis of data. Under the framework of longitudinal studies, three topics are being discussed in this thesis. In chapter 2, the joint modelling of multivariate longitudinal process consisting of different types of outcomes are discussed. In the large cohort study of UK north Stafforshire osteoarthritis project, longitudinal trivariate outcomes of continuous, binary and ordinary data are observed at baseline, year 3 and year 6. Instead of analysing each process separately, joint modelling is proposed for the trivariate outcomes to account for the inherent association by introducing random effects and the covariance matrix G. The influence of covariance matrix G on statistical inference of fixed-effects parameters has been investigated within the Bayesian framework. The study shows that by joint modelling the multivariate longitudinal process, it can reduce the bias and provide with more reliable results than it does by modelling each process separately. Together with the longitudinal measurements taken intermittently, a counting process of events in time is often being observed as well during a longitudinal study. It is of interest to investigate the relationship between time to event and longitudinal process, on the other hand, measurements taken for the longitudinal process may be potentially truncated by the terminated events, such as death. Thus, it may be crucial to jointly model the survival and longitudinal data. It is popular to propose linear mixed-effects models for the longitudinal process of continuous outcomes and Cox regression model for survival data to characterize the relationship between time to event and longitudinal process, and some standard assumptions have been made. In chapter 3, we try to investigate the influence on statistical inference for survival data when the assumption of mutual independence on random error of linear mixed-effects models of longitudinal process has been violated. And the study is conducted by utilising conditional score estimation approach, which provides with robust estimators and shares computational advantage. Generalised sufficient statistic of random effects is proposed to account for the correlation remaining among the random error, which is characterized by the data-driven method of modified Cholesky decomposition. The simulation study shows that, by doing so, it can provide with nearly unbiased estimation and efficient statistical inference as well. In chapter 4, it is trying to account for both the current and past information of longitudinal process into the survival models of joint modelling. In the last 15 to 20 years, it has been popular or even standard to assume that longitudinal process affects the counting process of events in time only through the current value, which, however, is not necessary to be true all the time, as recognised by the investigators in more recent…

Subjects/Keywords: 519.5; joint modelling, linear mixed-effects model, genelised linear mixed-effects model, random effects, Cox regression model, proportion hazards model; trivariate responses, continuous data, binary data, ordinal data, within-subject error, measurement error, random error, joint analysis, separated analysis, Bayesian analysis, Gibbs sampling, NorStOP data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, Q. (2014). Statistical inference for joint modelling of longitudinal and survival data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632217

Chicago Manual of Style (16^th Edition):

Li, Qiuju. “Statistical inference for joint modelling of longitudinal and survival data.” 2014. Doctoral Dissertation, University of Manchester. Accessed February 25, 2021. https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632217.

MLA Handbook (7^th Edition):

Li, Qiuju. “Statistical inference for joint modelling of longitudinal and survival data.” 2014. Web. 25 Feb 2021.

Vancouver:

Li Q. Statistical inference for joint modelling of longitudinal and survival data. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2021 Feb 25]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632217.

Council of Science Editors:

Li Q. Statistical inference for joint modelling of longitudinal and survival data. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.632217

McMaster University

20. Bai, Yu Qing. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.

Degree: MSc, 2011, McMaster University

URL: http://hdl.handle.net/11375/11402

►

Postpartum depression has become a major public health concern for women within a specific time period after delivery. Depression is possibly associated with some… (more)

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Postpartum depression has become a major public health concern for women within a specific time period after delivery. Depression is possibly associated with some risk factors such as socioeconomic status, social support, maternal mental and physical health, and history of anxiety. TOMIS III, funded by the Canadian Institutes of Health Research, is a prospective cohort to study the associations between delivery method and health and health resource utilization. Clinically, we investigated the associations between mode of delivery and outcome of postnatal depression, maternal and infant health, and we implied the risk predictors for outcomes by statistical methodology of marginal model with generalized estimating equations (GEE). Statistically, a variety of regression models, namely, generalized linear mixed effect model (GLMM), hierarchical generalized linear model (HGLM) and Bayesian hierarchical model were applied for this analysis and results were compared with GEEs. Some imputation strategies, namely, mean imputation, last observation carrying forward (LOCF), hot-deck imputation and multiple imputation were employed for handling missing values in this study. Analysis results demonstrated that there was no statistically significant association between mode of delivery and postpartum depression [OR 0.99, 95% CI (0.73, 1.34)]. However, the development of postpartum depression was found to be associated with low income, low mental and physical health functioning, lack of social support, the low number of unmet learning needs in hospital, and English or French spoken at home. Results were consistent for all regression models but GEE provided the best fit and an excellent discriminative ability. GEE models were constructed on different datasets imputed by mean, LOCF, hot-deck and multiple imputation, and LOCF was recommended to handle the missing data in this longitudinal study. Analyses on the outcome of maternal health and infant health stated that method of delivery had a statistically significant influence on maternal health but no significant impact on infant health. Risks of maternal health problems were associated with cesarean delivery, good/fair/poor infant health, low maternal mental and physical health functioning, lack of care for maternal mental health, and good/fair/poor health before pregnancy. Risks of infant health problems were associated with good/fair/poor maternal health before pregnancy and after discharge, inadequate care or help for infant health, fair/poor community services after discharge, low maternal mental health functioning, non-English or non-French spoken at home, and mothers born outside of Canada.

Master of Science (MSc)

Advisors/Committee Members: Thabane, Lehana, Roman Viveros-Aguilera, Gary Foster, Roman Viveros-Aguilera, Gary Foster, Mathematics and Statistics.

Subjects/Keywords: The Ontario Mother and Infant Study; generalized estimating equations; generalized linear mixed effect model; hierarchical generalized linear model; Bayesian hierarchical model; Biostatistics; Longitudinal Data Analysis and Time Series; Biostatistics

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APA (6^th Edition):

Bai, Y. Q. (2011). Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11402

Chicago Manual of Style (16^th Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Masters Thesis, McMaster University. Accessed February 25, 2021. http://hdl.handle.net/11375/11402.

MLA Handbook (7^th Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Web. 25 Feb 2021.

Vancouver:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11375/11402.

Council of Science Editors:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11402

21. Sripan, Patumrat. The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques.

Degree: Docteur es, Santé publique - biostatistiques, 2016, Université Paris-Saclay (ComUE); Mahāwitthayālai Kasētsāt (Thaïlande)

URL: http://www.theses.fr/2016SACLS092

►

Grâce aux combinaison d’antirétroviraux (ART), le taux de transmission mère-enfant (TME) du Virus de l’Immunodéficience Humaine VIH est maintenant réduit à moins de 1%. Des… (more)

▼

Grâce aux combinaison d’antirétroviraux (ART), le taux de transmission mère-enfant (TME) du Virus de l’Immunodéficience Humaine VIH est maintenant réduit à moins de 1%. Des progrès restent néanmoins à faire, en particuliers chez les femmes débutant tardivement leurs consultations prénatales. Mais l’évaluation de nouvelles stratégies ART pour la prévention de la TME (PTME) devient de plus en plus complexe à cause des exigences statistiques liées au fait que les transmissions sont rares. Dés lors, il devient crucial de modéliser l’efficacité des ART sur la charge virale (CV) et la transmission. Dans cette thèse, nous modélisons les mécanismes et le moment de la TME du VIH en utilisant des modèles mixtes. Les données proviennent de 4 études de prévention périnatales du VIH en Thaïlande (PHPT-1, PHPT-2, PHPT-5 1st phase et PHPT-5 2nd phase), une base de données historiques de qualité, collectées de 1996 à 2015, où différentes prophylaxies ART ont été prescrites à plus de 4000 femmes enceintes pendant des durées variables: Zidovudine (ZDV) seule; ZDV + une dose unique de nevirapine périnatale (sdNVP); ZDV+lopinavir/ritonavir (LPV/r) ou ZDV+LPV/r+lamivudine (3TC). Les modèles développés apportent un éclairage sur les mécanismes et le moment de la PTME ainsi que sur le rôle respectif de différents ART sur la réduction de la CV et sur leur contribution à la prophylaxie pre/post exposition. Partant de ces connaissances, une approche bayésienne est appliquée à une étude de cas (essai de supériorité dans le contexte d’un événement rare comme la TME du VIH) afin d’améliorer la puissance statistique tout en limitant la taille de l’échantillon, et comparée à une approche fréquentiste.

Nowadays, with the use of highly efficacious antiretroviral (ART) combination, the rate of mother-to-child transmission (MTCT) of Human Immunodeficiency Virus (HIV) is reduced to less than 1%. However, there are still some gaps to be filled, especially in women who initiate antenatal prophylaxis late. The evaluation of new ART strategies or drug combinations for the prevention of MTCT (PMTCT) of HIV becomes more difficult in view of the statistical requirements in case of rare outcomes. Therefore modeling the impact of ART on maternal viral load (VL) and transmission rate is increasingly important. In this thesis, the mechanisms and timing of MTCT of HIV were investigated using mixed model approaches. Data were derived from four perinatal HIV prevention studies in Thailand (PHPT-1, PHPT-2, PHPT-5 1st phase and PHPT-5 2nd phase), a unique set of quality historical data, consistently collected from 1996 to 2015, in which different ART prophylaxis regimens were provided to more than 4000 HIV-infected pregnant women for varying durations: Zidovudine (ZDV) alone; ZDV plus perinatal single dose nevirapine; ZDV+lopinavir/ritonavir (LPV/r) or ZDV+LPV/r+lamivudine. The developed models provide insights on the mechanisms and timing of PMTCT as well as on the respective role of different ARTs on the maternal VL reduction and in turn on their contribution to…

Advisors/Committee Members: Lallemant, Marc (thesis director).

Subjects/Keywords: Transmission mère-enfant du VIH; Modèle non lineaire mixte; Analyse Bayesienne; Thaïlande; Mother to Child Transmission of HIV; Nonlinear mixed model; Bayesian analysis; Thailand

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Sripan, P. (2016). The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques. (Doctoral Dissertation). Université Paris-Saclay (ComUE); Mahāwitthayālai Kasētsāt (Thaïlande). Retrieved from http://www.theses.fr/2016SACLS092

Chicago Manual of Style (16^th Edition):

Sripan, Patumrat. “The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE); Mahāwitthayālai Kasētsāt (Thaïlande). Accessed February 25, 2021. http://www.theses.fr/2016SACLS092.

MLA Handbook (7^th Edition):

Sripan, Patumrat. “The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques.” 2016. Web. 25 Feb 2021.

Vancouver:

Sripan P. The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); Mahāwitthayālai Kasētsāt (Thaïlande); 2016. [cited 2021 Feb 25]. Available from: http://www.theses.fr/2016SACLS092.

Council of Science Editors:

Sripan P. The Mechanisms And Timing Of Mother To Child Transmission Of HIV Using Model Based Approaches Integrating Prior Information From Historical Data : Analyse du mécanisme et moment de la transmission mère-enfant du VIH par des approches fondées sur des modèles intégrant des données historiques. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); Mahāwitthayālai Kasētsāt (Thaïlande); 2016. Available from: http://www.theses.fr/2016SACLS092

22. Delargy, Adam. Quantitative methods for producing evidence to support sustainable king scallop management.

Degree: PhD, 2020, Bangor University

URL: https://research.bangor.ac.uk/portal/en/theses/quantitative-methods-for-producing-evidence-to-support-sustainable-king-scallop-management(0d2b8ba8-9ee1-4158-869c-8fec58e50b34).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809690

► Scallops were the third most valuable wild-caught marine animals in the United Kingdom (UK) in 2018, with a first-sale value of £69.7 million. Despite the… (more)

▼ Scallops were the third most valuable wild-caught marine animals in the United Kingdom (UK) in 2018, with a first-sale value of £69.7 million. Despite the high relative and absolute economic value of scallop fisheries in the UK, the majority are not managed based on quantitative scientific evidence from stock assessments which risks them becoming overfished and unsustainable. Scallops were also the third most valuable wild-caught marine animals in Wales, at a first-sale value of £2.4 million. Despite this Welsh scallop first-sale value being approximately 3.4 % of the value of the wider UK fishery, the fishery is still relatively economically important to Wales as the third most valuable. In addition, landings of scallops in to Wales have been decreasing since 2012 which highlights that greater scientific evidence is required to support the sustainable management of this relatively economically important natural resource. The existing management tools in Welsh waters are not linked to evidence of scallop stock sizes, or any other measure of scallop stock status. In addition to these arguments for sustainably managing the scallop populations, scallop dredging is considered to have a negative impact on the wider ecosystem and therefore it is important to gain a greater understanding of the negative effects of scallop dredging so that these may be better managed. The aims of this study were to implement techniques to estimate two valuable pieces of evidence which could help support sustainable management of king scallops (Pecten maximus) in Wales. These pieces of evidence were; (1) estimates of absolute stock sizes and (2) the effect of repeatedly applying fishing effort to an area on the target species, the wider environment and fuel efficiency. Multiple historical reconstruction stock assessment models and a spatial depletion model were used to directly estimate absolute size of stocks or populations, and the catch efficiencies of multiple commercial vessels were quantified with a view towards scaling catch rates to abundance using catch efficiency in the future. The three historical reconstruction stock assessment models varied by estimated stock structure and were age-, length- and un- structured, where unstructured models are more commonly known as surplus-production or biomass dynamics models. The effects of repeatedly fishing small areas on environmental fishing efficiency and fuel efficiency were investigated through simulations and empirical data. The estimated catch efficiencies of five commercial scallop vessels ranged from 0.13 to 0.62, which demonstrated high variability in catch efficiencies between the vessels and between estimates for the same vessel. This indicated that catch efficiencies can vary considerably between scallop dredgers and catch rates should be not be scaled to estimates of abundance using catch efficiency until greater understanding of catch efficiencies is achieved. Scallop density was found to vary considerably over small spatial scales (25 to 59 commercially sized scallops per 100…

Subjects/Keywords: Fisheries; Bayesian; Depletion; Stock Assessment; Time Series; Sustainable; Environmental Impact

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Delargy, A. (2020). Quantitative methods for producing evidence to support sustainable king scallop management. (Doctoral Dissertation). Bangor University. Retrieved from https://research.bangor.ac.uk/portal/en/theses/quantitative-methods-for-producing-evidence-to-support-sustainable-king-scallop-management(0d2b8ba8-9ee1-4158-869c-8fec58e50b34).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809690

Chicago Manual of Style (16^th Edition):

Delargy, Adam. “Quantitative methods for producing evidence to support sustainable king scallop management.” 2020. Doctoral Dissertation, Bangor University. Accessed February 25, 2021. https://research.bangor.ac.uk/portal/en/theses/quantitative-methods-for-producing-evidence-to-support-sustainable-king-scallop-management(0d2b8ba8-9ee1-4158-869c-8fec58e50b34).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809690.

MLA Handbook (7^th Edition):

Delargy, Adam. “Quantitative methods for producing evidence to support sustainable king scallop management.” 2020. Web. 25 Feb 2021.

Vancouver:

Delargy A. Quantitative methods for producing evidence to support sustainable king scallop management. [Internet] [Doctoral dissertation]. Bangor University; 2020. [cited 2021 Feb 25]. Available from: https://research.bangor.ac.uk/portal/en/theses/quantitative-methods-for-producing-evidence-to-support-sustainable-king-scallop-management(0d2b8ba8-9ee1-4158-869c-8fec58e50b34).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809690.

Council of Science Editors:

Delargy A. Quantitative methods for producing evidence to support sustainable king scallop management. [Doctoral Dissertation]. Bangor University; 2020. Available from: https://research.bangor.ac.uk/portal/en/theses/quantitative-methods-for-producing-evidence-to-support-sustainable-king-scallop-management(0d2b8ba8-9ee1-4158-869c-8fec58e50b34).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.809690

University of Otago

23. Vajjah, Venkata Pavan Kumar. Application of pharmacometric methods to clinical toxicology studies .

Degree: 2011, University of Otago

URL: http://hdl.handle.net/10523/554

► Risk assessment is a fundamental part of clinical toxicology. It is complicated due to a variable time course of clinical effects of drugs in clinical… (more)

▼ Risk assessment is a fundamental part of clinical toxicology. It is complicated due to a variable time course of clinical effects of drugs in clinical toxicology. Defining the time course of clinical effects of drugs in overdose will assist in accurate risk assessment and thus minimise the risk to benefit ratio for each individual patient. However assessing the time course of clinical effects of drugs is complex in overdose studies. The complexity arises from absence of accurate knowledge of the dose, the time at which the overdose was ingested and observations in the initial phase of the study after the overdose. The study designs in overdose studies are highly unbalanced which adds to the complexity. The purpose of this thesis is to apply pharmacometric methods to define the time course of clinical effects of drugs in overdose. In this thesis pharmacometric methods are applied to: 1) Quantify the effects of various decontamination procedures on pharmacokinetics of venlafaxine in overdose. 2) Quantify the effects of various decontamination procedures on pharmacodynamics of venlafaxine in overdose. 3) Develop a robust optimality criterion for designing a study to assess whether paracetamol in overdose has linear or nonlinear pharmacokinetics. In the pharmacokinetic analysis (Chapter 2), data obtained from a venlafaxine overdose study were modelled using Bayesian methodology in WinBUGS 1.4.3.The results of the analysis showed that a one-compartment model with first-order input and first-order elimination provided an adequate description of the data. Single dose activated charcoal increased the clearance of venlafaxine by 35% and a combination of single dose activated charcoal and whole bowel irrigation reduced the fraction absorbed by 29%, however the latter produced a greater reduction in maximum plasma concentration for a similar drop in area under the curve compared to single dose activate charcoal alone. In the pharmacodynamic analysis (Chapter 4), a linear logistic regression model was used to describe the influence of dose and decontamination on the probability of seizures. Simulations from the model showed that the probability of seizure increased with dose. Single dose activated charcoal and combination of single dose activated charcoal and whole bowel irrigation decreased the probability of seizure. The decrease in probability of seizure was greater with the combination when compared with single dose activated charcoal alone. A modified Gompertz model was used to define the time to first seizure using Bayesian methodology in WinBUGS 1.4.3. Simulations from the model showed that the time to 90% of first seizure was not affected by dose or decontamination procedures. The results also showed that the pharmacokinetics of venlafaxine drives the pharmacodynamics. A pharmacokinetic study of paracetamol in overdose was prospectively designed to optimally discriminate between two candidate models (Chapter 6). In this study a robust T-optimal design was developed to distinguish between two candidate models, a… Advisors/Committee Members: Duffull, Stephen (advisor).

Subjects/Keywords: Pharmacometrics; Clinical toxicology; Bayesian analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Vajjah, V. P. K. (2011). Application of pharmacometric methods to clinical toxicology studies . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/554

Chicago Manual of Style (16^th Edition):

Vajjah, Venkata Pavan Kumar. “Application of pharmacometric methods to clinical toxicology studies .” 2011. Doctoral Dissertation, University of Otago. Accessed February 25, 2021. http://hdl.handle.net/10523/554.

MLA Handbook (7^th Edition):

Vajjah, Venkata Pavan Kumar. “Application of pharmacometric methods to clinical toxicology studies .” 2011. Web. 25 Feb 2021.

Vancouver:

Vajjah VPK. Application of pharmacometric methods to clinical toxicology studies . [Internet] [Doctoral dissertation]. University of Otago; 2011. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10523/554.

Council of Science Editors:

Vajjah VPK. Application of pharmacometric methods to clinical toxicology studies . [Doctoral Dissertation]. University of Otago; 2011. Available from: http://hdl.handle.net/10523/554

24. Nummenmaa, Aapo. Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models.

Degree: 2008, Helsinki University of Technology

URL: http://lib.tkk.fi/Diss/2008/isbn9789512291434/

►

Magnetoencephalography (MEG) enables noninvasive measurements of cerebral activity with excellent temporal resolution, but localising the neural currents generating the extracranial magnetic fields admits no unique… (more)

▼

Magnetoencephalography (MEG) enables noninvasive measurements of cerebral activity with excellent temporal resolution, but localising the neural currents generating the extracranial magnetic fields admits no unique solution. By imposing some mathematical constraints on the currents, reasonable solutions to this electromagnetic inverse problem can be obtained. In this work, we adopt the statistical formulation of the inverse problem in which the constraints are encoded as Bayesian prior probabilities. The prior is combined with a statistical MEG observation model via Bayes' theorem to yield the posterior probability of the unknown parameters, that is the currents, given the MEG data and modeling assumptions. Apart from the currents, the prior probability density may contain further parameters which are subject to uncertainty. These parameters are not related directly to the MEG observations and are called second-level parameters or hyperparameters, giving the model a hierarchical structure. The thesis considers hierarchical generalisations of the classical Minimum-Norm and Minimum-Current Estimates (MNE and MCE). The MNE and MCE are distributed source reconstruction methods from which the former is known to produce spatially diffuse distributions and the latter more focal. The here studied extensions of the MNE and MCE prior structures allow more general and flexible modeling of distributed sources with properties in between MNE and MCE. The first two studies included in this thesis involve more theoretical Bayesian analyses on the properties of the hierarchical distributed source models and the resulting inverse estimates. The latter two studies focus on validation of the models with empirical MEG data, practical analyses and interpretation of the inverse estimates.

Magnetoenkefalografia (MEG) mahdollistaa pään ulkopuolelta tapahtuvan aivotoimintojen mittaamisen hyvällä ajallisella tarkkuudella, mutta nämä magneettikentät synnyttävien aivokudoksen sähkövirtojen paikallistaminen vaatii ns. sähkömagneettisen käänteisongelman ratkaisun, joka ei ole yksikäsitteinen. Jos virtakonfiguraatioille asetetaan sopivia matemaattisia rajoitteita, on kuitenkin mahdollista löytää käyttökelpoisia ratkaisuja tähän käänteisongelmaan. Tässä työssä käänteisongelmaa lähestytään tilastollisesti, ja matemaattiset rajoitteet muotoillaan Bayesilaisittain a priori todennäköisyyksinä. Tämä priorijakauma yhdistetään tilastollisen MEG-havaintomallin kanssa, jolloin saadaan Bayesin teoreeman avulla tuntemattomien parametrien eli virtakonfiguraatioiden a posteriori -jakauma, joka kertoo eri virtakonfiguraatioden todennäköisyydet, annettuna havaittu data sekä tehdyt mallioletukset. Virtojen lisäksi priorijakaumaan saattaa liittyä muita tuntemattomia suureita, jotka sisältävät epävarmuutta. Nämä parametrit eivät kytkeydy suoraan MEG-mittauksiin, joten ne ovat siis sähkövirtoihin verrattuna seuraavalla mallitasolla. Näitä priorin parametreja kutsutaan hyperparametreiksi, ja mallilla on hierarkinen rakenne. Väitöskirjassa tutkitaan klassisten…

Advisors/Committee Members: Helsinki University of Technology, Department of Electrical and Communications Engineering, Laboratory of Computational Engineering.

Subjects/Keywords: magnetoencephalography; inverse problem; Bayesian analysis

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nummenmaa, A. (2008). Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2008/isbn9789512291434/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nummenmaa, Aapo. “Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models.” 2008. Thesis, Helsinki University of Technology. Accessed February 25, 2021. http://lib.tkk.fi/Diss/2008/isbn9789512291434/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nummenmaa, Aapo. “Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models.” 2008. Web. 25 Feb 2021.

Vancouver:

Nummenmaa A. Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models. [Internet] [Thesis]. Helsinki University of Technology; 2008. [cited 2021 Feb 25]. Available from: http://lib.tkk.fi/Diss/2008/isbn9789512291434/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nummenmaa A. Hierarchical Bayesian Aspects of Distributed Neuromagnetic Source Models. [Thesis]. Helsinki University of Technology; 2008. Available from: http://lib.tkk.fi/Diss/2008/isbn9789512291434/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Helsinki

25. Yi, Xinxin. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.

Degree: 2015, University of Helsinki

URL: http://hdl.handle.net/10138/158386

►

Problem: Helsinki psychotherapy study (HPS) is a quasi-experimental clinical trial, which is designed to compare the effects of different treatments (i.e. psychotherapy and psychoanalysis) on… (more)

▼

Problem: Helsinki psychotherapy study (HPS) is a quasi-experimental clinical trial, which is designed to compare the effects of different treatments (i.e. psychotherapy and psychoanalysis) on patients with mood and anxiety disorders. During its 5-year follow-ups from the year 2000 to 2005, repeated measurements were carried out at 0, 12, 24, 36, 48, 60 months. However, some individuals did not show up at certain data collection points or dropped out of the study forever, leading to the occurrence of missing values. This will prevent the applications of further statistical methods and violate the intention-to-treat (ITT) principle in longitudinal clinical trials (LCT). Method: Multiple Imputation (MI) has many claimed advantages in handling missing values. This research will compare different MI methods i.e. Markov chain Monte Carlo (MCMC), Bayesian Linear Regression (BLR), Predictive Mean Matching (PMM), Regression Tree (RT), Random Forest (RF) in their treatments of HPS missing data. The statistical software is SAS PROC MI procedure (version 9.3) and R MICE package (version 2.9). Results: MI has better performance than the ad-hoc methods such as listwise deletion in the detections of potential relationships and the reduction of potential biases in parameter estimations if missing completely at random (MCAR) assumption is not satisfied. PMM, RT and RF have better performance in generating imputed values inside the range of the observed data than BLR and MCMC. The machine learning methods i.e. RT and RF are preferable than the regression methods such as PMM and BLR since the imputed data have quite similar distribution curves and other features (e.g. median, interguatile, skewness of distribution) as the observed data. Implications: It is suggestive to use MI methods to replace those ad-hoc methods in the treatments of missing data, if additional efforts and time are not a problem. The machine learning methods such as RT and RF are more preferable than those relatively arbitrary user-specified regression methods such as PMM and BLR according to our data, but further research are required to approve this indication. R is more flexible than SAS where RT and RF can be applied.

Vain tiivistelmä. Opinnäytteiden arkistokappaleet ovat luettavissa Helsingin yliopiston kirjastossa. Hae HELKA-tietokannasta (http://www.helsinki.fi/helka/index.htm).

Abstract only. The paper copy of the whole thesis is available for reading room use at the Helsinki University Library. Search HELKA online catalog (http://www.helsinki.fi/helka/index.htm).

Endast avhandlingens sammandrag. Pappersexemplaret av hela avhandlingen finns för läsesalsbruk i Helsingfors universitets bibliotek. Sök i HELKA-databasen (http://www.helsinki.fi/helka/index.htm).

Subjects/Keywords: Bayesian Statistics and Decision Analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yi, X. (2015). Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. (Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/158386

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yi, Xinxin. “Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.” 2015. Thesis, University of Helsinki. Accessed February 25, 2021. http://hdl.handle.net/10138/158386.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yi, Xinxin. “Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.” 2015. Web. 25 Feb 2021.

Vancouver:

Yi X. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. [Internet] [Thesis]. University of Helsinki; 2015. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10138/158386.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yi X. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. [Thesis]. University of Helsinki; 2015. Available from: http://hdl.handle.net/10138/158386

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Helsinki

26. Huang, Zhiyong. Linear Models with Regularization.

Degree: 2012, University of Helsinki

URL: http://hdl.handle.net/10138/37086

►

In this master’s thesis we present two important classes of regularized linear models -regularized least squares regression (LS) and regularized least absolute deviation (LAD). Use… (more)

▼

In this master’s thesis we present two important classes of regularized linear models -regularized least squares regression (LS) and regularized least absolute deviation (LAD). Use of regularized regression in variable selection was pioneered by Tibshirani (1996) and his proposed LASSO rapidly became a popular and competitive method in variable selection. Properties of LASSO have been intensively studied and different algorithms to solve LASSO have been developed. While the success of LASSO was acclaimed during the process, its limitations were noticed and a number of alternative methods have been proposed in subsequent research. Among all of theses methods, adaptive LASSO (Zou, 2006) and SCAD (Fan and Li, 2001) attempt to improve the efficiency of LASSO; LAD LASSO (Wang et al., 2007) assumes non-Gaussian distributed errors; ridge, elastic net (Zou and Hastie, 2005) and Bridge (Frank and Friedman, 1993) adopt penalties other than L1; while fused LASSO (Tibshirani et al., 2005) and grouped LASSO (Yuan and Lin, 2006) take extra constrains of data into account. We discuss LASSO in length in the thesis. Its properties in orthogonal design, singular design and p > n design are examined. Its asymptotic performance is investigated and its limitations are carefully illustrated. Another two commonly used regularization methods in LS - ridge and elastic net - are discussed as well. The regularized LAD is another focus of the thesis. As a robust statistic, LAD, which fits the conditional median rather than the conditional mean of the response, has a bounded influence function and a high conditional breakdown point. It is natural to use regularized LAD to do variable selection in presence of long-tailed errors or outliers in the response. Compared with LASSO, LAD LASSO does robust estimation and variable selection simultaneously. We make a simulation study and examine two real examples on the performance of these regularized linear models. Our results demonstrate that no single one estimate dominates others in all cases. The sparsity of the true model, the distribution of the noise, noise-to-signal ratio, the sample size and the correction of predictors, all these factors matter. When the noise has a normal distribution, LASSO, adaptive LASSO and elastic net often outperform others in prediction accuracy. Adaptive LASSO is the best in variable selection and elastic net tends to reveal less sparsity than LASSO. When the noise follows a Laplace distribution, LAD LASSO is competitive with LASSO but is less efficient than adaptive LASSO. For noises with extremely long-tailed distribution such as Cauchy distribution, LAD LASSO dominates others in both the prediction accuracy and variable selection.

Vain tiivistelmä. Opinnäytteiden arkistokappaleet ovat luettavissa Helsingin yliopiston kirjastossa. Hae HELKA-tietokannasta (http://www.helsinki.fi/helka/index.htm).

Abstract only. The paper copy of the whole thesis is available for reading room use at the Helsinki University Library. Search HELKA online catalog…

Subjects/Keywords: Bayesian Statistics and Decision Analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, Z. (2012). Linear Models with Regularization. (Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/37086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Zhiyong. “Linear Models with Regularization.” 2012. Thesis, University of Helsinki. Accessed February 25, 2021. http://hdl.handle.net/10138/37086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Zhiyong. “Linear Models with Regularization.” 2012. Web. 25 Feb 2021.

Vancouver:

Huang Z. Linear Models with Regularization. [Internet] [Thesis]. University of Helsinki; 2012. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10138/37086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Z. Linear Models with Regularization. [Thesis]. University of Helsinki; 2012. Available from: http://hdl.handle.net/10138/37086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Helsinki

27. Benner, Christian. Bayesian confirmatory factor analysis for detection of differential gene expression.

Degree: 2013, University of Helsinki

URL: http://hdl.handle.net/10138/38495

►

Background. DNA microarrays measure the expression levels of tens of thousands of genes simultaneously. Some differentially expressed genes may be useful as markers for the… (more)

▼

Background. DNA microarrays measure the expression levels of tens of thousands of genes simultaneously. Some differentially expressed genes may be useful as markers for the diagnosis of diseases. Available statistical tests examine genes individually, which causes challenges due to multiple testing and variance estimation. In this Master’s thesis, Bayesian confirmatory factor analysis (CFA) is proposed as a novel approach for the detection of differential gene expression. Methods. The factor scores represent summary measures that combine the expression levels from biological samples under the same condition. Differential gene expression is assessed by utilizing their distributional assumptions. A mean-field variational Bayesian approximation is employed for computationally fast estimation. Results. Its estimation performance is equal to Gibbs sampling. Point estimation errors of model parameters decrease with increasing number of variables. However, mean centering of the data matrix and standardization of factor scores resulted in an inflation of the false positive rate. Conclusion. Avoiding mean centering and revision of the CFA model is required so that location parameters of factor score distributions can be estimated. The utility of CFA for the detection of differential gene expression needs also to be confirmed by a comparison with different statistical procedures to benchmark its false positive rate and statistical power.

Vain tiivistelmä. Opinnäytteiden arkistokappaleet ovat luettavissa Helsingin yliopiston kirjastossa. Hae HELKA-tietokannasta (http://www.helsinki.fi/helka/index.htm).

Abstract only. The paper copy of the whole thesis is available for reading room use at the Helsinki University Library. Search HELKA online catalog (http://www.helsinki.fi/helka/index.htm).

Endast avhandlingens sammandrag. Pappersexemplaret av hela avhandlingen finns för läsesalsbruk i Helsingfors universitets bibliotek. Sök i HELKA-databasen (http://www.helsinki.fi/helka/index.htm).

Subjects/Keywords: Bayesian Statistics and Decision Analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Benner, C. (2013). Bayesian confirmatory factor analysis for detection of differential gene expression. (Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/38495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Benner, Christian. “Bayesian confirmatory factor analysis for detection of differential gene expression.” 2013. Thesis, University of Helsinki. Accessed February 25, 2021. http://hdl.handle.net/10138/38495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Benner, Christian. “Bayesian confirmatory factor analysis for detection of differential gene expression.” 2013. Web. 25 Feb 2021.

Vancouver:

Benner C. Bayesian confirmatory factor analysis for detection of differential gene expression. [Internet] [Thesis]. University of Helsinki; 2013. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10138/38495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benner C. Bayesian confirmatory factor analysis for detection of differential gene expression. [Thesis]. University of Helsinki; 2013. Available from: http://hdl.handle.net/10138/38495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Helsinki

28. Yi, Xinxin. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.

Degree: 2016, University of Helsinki

URL: http://hdl.handle.net/10138/160856

►

Problem: Helsinki psychotherapy study (HPS) is a quasi-experimental clinical trial, which is designed to compare the effects of different treatments (i.e. psychotherapy and psychoanalysis) on… (more)

▼

Problem: Helsinki psychotherapy study (HPS) is a quasi-experimental clinical trial, which is designed to compare the effects of different treatments (i.e. psychotherapy and psychoanalysis) on patients with mood and anxiety disorders. During its 5-year follow-ups from the year 2000 to 2005, repeated measurements were carried out at 0, 12, 24, 36, 48, 60 months. However, some individuals did not show up at certain data collection points or dropped out of the study forever, leading to the occurrence of missing values. This will prevent the applications of further statistical methods and violate the intention-to-treat (ITT) principle in longitudinal clinical trials (LCT). Method: Multiple Imputation (MI) has many claimed advantages in handling missing values. This research will compare different MI methods i.e. Markov chain Monte Carlo (MCMC), Bayesian Linear Regression (BLR), Predictive Mean Matching (PMM), Regression Tree (RT), Random Forest (RF) in their treatments of HPS missing data. The statistical software is SAS PROC MI procedure (version 9.3) and R MICE package (version 2.9). Results: MI has better performance than the ad-hoc methods such as listwise deletion in the detections of potential relationships and the reduction of potential biases in parameter estimations if missing completely at random (MCAR) assumption is not satisfied. PMM, RT and RF have better performance in generating imputed values inside the range of the observed data than BLR and MCMC. The machine learning methods i.e. RT and RF are preferable than the regression methods such as PMM and BLR since the imputed data have quite similar distribution curves and other features (e.g. median, interguatile, skewness of distribution) as the observed data. Implications: It is suggestive to use MI methods to replace those ad-hoc methods in the treatments of missing data, if additional efforts and time are not a problem. The machine learning methods such as RT and RF are more preferable than those relatively arbitrary user-specified regression methods such as PMM and BLR according to our data, but further research are required to approve this indication. R is more flexible than SAS where RT and RF can be applied.

Vain tiivistelmä. Opinnäytteiden arkistokappaleet ovat luettavissa Helsingin yliopiston kirjastossa. Hae HELKA-tietokannasta (http://www.helsinki.fi/helka/index.htm).

Abstract only. The paper copy of the whole thesis is available for reading room use at the Helsinki University Library. Search HELKA online catalog (http://www.helsinki.fi/helka/index.htm).

Endast avhandlingens sammandrag. Pappersexemplaret av hela avhandlingen finns för läsesalsbruk i Helsingfors universitets bibliotek. Sök i HELKA-databasen (http://www.helsinki.fi/helka/index.htm).

Subjects/Keywords: Bayesian Statistics and Decision Analysis

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yi, X. (2016). Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. (Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/160856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yi, Xinxin. “Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.” 2016. Thesis, University of Helsinki. Accessed February 25, 2021. http://hdl.handle.net/10138/160856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yi, Xinxin. “Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation.” 2016. Web. 25 Feb 2021.

Vancouver:

Yi X. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. [Internet] [Thesis]. University of Helsinki; 2016. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/10138/160856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yi X. Correcting the Effects of Missing Data in Helsinki Psychotherapy Study using Multiple Imputation. [Thesis]. University of Helsinki; 2016. Available from: http://hdl.handle.net/10138/160856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Vanderbilt University

29. Shumaker, Rachel Lincoln. Perceptions of Water Quality in Southwestern Bangladesh.

Degree: MS, Earth and Environmental Sciences, 2017, Vanderbilt University

URL: http://hdl.handle.net/1803/13693

► Earth and Environmental Sciences Perceptions of Water Quality in Southwestern Bangladesh Rachel Shumaker Thesis under the direction of Professor Jonathan M. Gilligan Increasing stress on… (more)

Subjects/Keywords: Bangladesh; Water Quality; Bayesian Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Shumaker, R. L. (2017). Perceptions of Water Quality in Southwestern Bangladesh. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Shumaker, Rachel Lincoln. “Perceptions of Water Quality in Southwestern Bangladesh.” 2017. Thesis, Vanderbilt University. Accessed February 25, 2021. http://hdl.handle.net/1803/13693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Shumaker, Rachel Lincoln. “Perceptions of Water Quality in Southwestern Bangladesh.” 2017. Web. 25 Feb 2021.

Vancouver:

Shumaker RL. Perceptions of Water Quality in Southwestern Bangladesh. [Internet] [Thesis]. Vanderbilt University; 2017. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/1803/13693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shumaker RL. Perceptions of Water Quality in Southwestern Bangladesh. [Thesis]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/13693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

McMaster University

30. Chenxi, Yu. Incorporating Historical Data via Bayesian Analysis Based on The Logit Model.

Degree: MSc, 2018, McMaster University

URL: http://hdl.handle.net/11375/23978

►

This thesis presents a Bayesian approach to incorporate historical data. Usually, in statistical inference, a large data size is required to establish a strong evidence.… (more)

Subjects/Keywords: Bayesian analysis; historical data

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chenxi, Y. (2018). Incorporating Historical Data via Bayesian Analysis Based on The Logit Model. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23978

Chicago Manual of Style (16^th Edition):

Chenxi, Yu. “Incorporating Historical Data via Bayesian Analysis Based on The Logit Model.” 2018. Masters Thesis, McMaster University. Accessed February 25, 2021. http://hdl.handle.net/11375/23978.

MLA Handbook (7^th Edition):

Chenxi, Yu. “Incorporating Historical Data via Bayesian Analysis Based on The Logit Model.” 2018. Web. 25 Feb 2021.

Vancouver:

Chenxi Y. Incorporating Historical Data via Bayesian Analysis Based on The Logit Model. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2021 Feb 25]. Available from: http://hdl.handle.net/11375/23978.

Council of Science Editors:

Chenxi Y. Incorporating Historical Data via Bayesian Analysis Based on The Logit Model. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23978

Open Access Theses and Dissertations