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You searched for subject:(Bayesian Estimation). Showing records 1 – 30 of 405 total matches.

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University of Georgia

1. Cho, Sun-Joo. A multilevel mixture IRT model for DIF analysis.

Degree: PhD, Educational Psychology, 2007, University of Georgia

 The usual methodology for detection of di_erential item functioning (DIF) is to examine di_erences among manifest groups formed by such characteristics as gender, ethnicity, age,… (more)

Subjects/Keywords: Bayesian Estimation

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APA (6th Edition):

Cho, S. (2007). A multilevel mixture IRT model for DIF analysis. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/cho_sun-joo_200712_phd

Chicago Manual of Style (16th Edition):

Cho, Sun-Joo. “A multilevel mixture IRT model for DIF analysis.” 2007. Doctoral Dissertation, University of Georgia. Accessed September 16, 2019. http://purl.galileo.usg.edu/uga_etd/cho_sun-joo_200712_phd.

MLA Handbook (7th Edition):

Cho, Sun-Joo. “A multilevel mixture IRT model for DIF analysis.” 2007. Web. 16 Sep 2019.

Vancouver:

Cho S. A multilevel mixture IRT model for DIF analysis. [Internet] [Doctoral dissertation]. University of Georgia; 2007. [cited 2019 Sep 16]. Available from: http://purl.galileo.usg.edu/uga_etd/cho_sun-joo_200712_phd.

Council of Science Editors:

Cho S. A multilevel mixture IRT model for DIF analysis. [Doctoral Dissertation]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/cho_sun-joo_200712_phd


Baylor University

2. Falley, Brandi. Bayesian approaches for design of psychometric studies with underreporting and misclassification.

Degree: Statistical Sciences., 2013, Baylor University

 Measurement error problems in binary regression are of considerable interest among researchers, especially in epidemiological studies. Misclassification can be considered a special case of measurement… (more)

Subjects/Keywords: Misclassification.; Underreporting.; Bayesian estimation.; Psychometric studies.

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APA (6th Edition):

Falley, B. (2013). Bayesian approaches for design of psychometric studies with underreporting and misclassification. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8571

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

Chicago Manual of Style (16th Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification. ” 2013. Thesis, Baylor University. Accessed September 16, 2019. http://hdl.handle.net/2104/8571.

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

MLA Handbook (7th Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification. ” 2013. Web. 16 Sep 2019.

Vancouver:

Falley B. Bayesian approaches for design of psychometric studies with underreporting and misclassification. [Internet] [Thesis]. Baylor University; 2013. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2104/8571.

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

Council of Science Editors:

Falley B. Bayesian approaches for design of psychometric studies with underreporting and misclassification. [Thesis]. Baylor University; 2013. Available from: http://hdl.handle.net/2104/8571

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


Cornell University

3. Havlak, Francis. Probabilistic Anticipation For Autonomous Urban Robots .

Degree: 2015, Cornell University

 The ability to anticipate the behavior of other vehicles on the road is a key part of how humans drive safely in complex environments. This… (more)

Subjects/Keywords: Autonomous Driving; Bayesian Estimation; Machine Learning

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APA (6th Edition):

Havlak, F. (2015). Probabilistic Anticipation For Autonomous Urban Robots . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/40632

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

Chicago Manual of Style (16th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots .” 2015. Thesis, Cornell University. Accessed September 16, 2019. http://hdl.handle.net/1813/40632.

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

MLA Handbook (7th Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots .” 2015. Web. 16 Sep 2019.

Vancouver:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1813/40632.

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

Council of Science Editors:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/40632

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


Vanderbilt University

4. Chen, Kan. Essays on international real business cycle models and Bayesian estimation.

Degree: PhD, Economics, 2013, Vanderbilt University

 My dissertation consists of three essays that study the properties of international business cycle, and the underline driving forces of their comovement. In the first… (more)

Subjects/Keywords: Bayesian estimation; real business cycle; international

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APA (6th Edition):

Chen, K. (2013). Essays on international real business cycle models and Bayesian estimation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu//available/etd-07112013-142215/ ;

Chicago Manual of Style (16th Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed September 16, 2019. http://etd.library.vanderbilt.edu//available/etd-07112013-142215/ ;.

MLA Handbook (7th Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Web. 16 Sep 2019.

Vancouver:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2019 Sep 16]. Available from: http://etd.library.vanderbilt.edu//available/etd-07112013-142215/ ;.

Council of Science Editors:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu//available/etd-07112013-142215/ ;


University of Rochester

5. Voleti, Sudhir (1977 - ). Estimating brand equity from aggregate data.

Degree: PhD, 2009, University of Rochester

 Brands are now widely recognized as among a firm’s most valuable assets. Hence the assessment of the value or equity of brand assets has attracted… (more)

Subjects/Keywords: Brand equity; Random effects; Bayesian estimation

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APA (6th Edition):

Voleti, S. (. -. ). (2009). Estimating brand equity from aggregate data. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/7838

Chicago Manual of Style (16th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Doctoral Dissertation, University of Rochester. Accessed September 16, 2019. http://hdl.handle.net/1802/7838.

MLA Handbook (7th Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Web. 16 Sep 2019.

Vancouver:

Voleti S(-). Estimating brand equity from aggregate data. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1802/7838.

Council of Science Editors:

Voleti S(-). Estimating brand equity from aggregate data. [Doctoral Dissertation]. University of Rochester; 2009. Available from: http://hdl.handle.net/1802/7838


Colorado School of Mines

6. Engler, Davis. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.

Degree: MS(M.S.), Applied Mathematics and Statistics, 2019, Colorado School of Mines

 Following an earthquake it is crucial to estimate the true scope of impact in terms of fatalities and damage as quickly as possible for efficient… (more)

Subjects/Keywords: Earthquake fatality estimation; Bayesian updating; Kalman filtering

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APA (6th Edition):

Engler, D. (2019). Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/173071

Chicago Manual of Style (16th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Masters Thesis, Colorado School of Mines. Accessed September 16, 2019. http://hdl.handle.net/11124/173071.

MLA Handbook (7th Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Web. 16 Sep 2019.

Vancouver:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/11124/173071.

Council of Science Editors:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Masters Thesis]. Colorado School of Mines; 2019. Available from: http://hdl.handle.net/11124/173071


Tampere University

7. Lu, Chien. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .

Degree: 2018, Tampere University

 Entropy estimation is an important technique to summarize the uncertainty of a distribution underlying a set of samples. It ties to important research problems in… (more)

Subjects/Keywords: entropy estimation; nonparametric estimator; Bayesian inference

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APA (6th Edition):

Lu, C. (2018). An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/104066

Chicago Manual of Style (16th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Masters Thesis, Tampere University. Accessed September 16, 2019. https://trepo.tuni.fi/handle/10024/104066.

MLA Handbook (7th Edition):

Lu, Chien. “An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples .” 2018. Web. 16 Sep 2019.

Vancouver:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2019 Sep 16]. Available from: https://trepo.tuni.fi/handle/10024/104066.

Council of Science Editors:

Lu C. An Improved Nearest Neighbor Based Entropy Estimator with Local Ellipsoid Correction and its Application to Evaluation of MCMC Posterior Samples . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/104066


University of Texas – Austin

8. Wright, April Marie. Estimating phylogenetic trees from discrete morphological data.

Degree: PhD, Ecology, Evolution and Behavior, 2015, University of Texas – Austin

 Morphological characters have a long history of use in the estimation of phylogenetic trees. Datasets consisting of morphological characters are most often analyzed using the… (more)

Subjects/Keywords: Phylogeny; Bayesian estimation; Paleontology; Morphology; Phylogenetic trees

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APA (6th Edition):

Wright, A. M. (2015). Estimating phylogenetic trees from discrete morphological data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30934

Chicago Manual of Style (16th Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed September 16, 2019. http://hdl.handle.net/2152/30934.

MLA Handbook (7th Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Web. 16 Sep 2019.

Vancouver:

Wright AM. Estimating phylogenetic trees from discrete morphological data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2152/30934.

Council of Science Editors:

Wright AM. Estimating phylogenetic trees from discrete morphological data. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30934


University of Wolverhampton

9. Yan, Jiajia. Statistical Analysis on Diffusion Tensor Estimation.

Degree: 2017, University of Wolverhampton

 Diffusion tensor imaging (DTI) is a relatively new technology of magnetic resonance imaging, which enables us to observe the insight structure of the human body… (more)

Subjects/Keywords: DTI; tensor estimation; robust; Bayesian; non-Euclidean

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APA (6th Edition):

Yan, J. (2017). Statistical Analysis on Diffusion Tensor Estimation. (Thesis). University of Wolverhampton. Retrieved from http://hdl.handle.net/2436/621860

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

Chicago Manual of Style (16th Edition):

Yan, Jiajia. “Statistical Analysis on Diffusion Tensor Estimation.” 2017. Thesis, University of Wolverhampton. Accessed September 16, 2019. http://hdl.handle.net/2436/621860.

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

MLA Handbook (7th Edition):

Yan, Jiajia. “Statistical Analysis on Diffusion Tensor Estimation.” 2017. Web. 16 Sep 2019.

Vancouver:

Yan J. Statistical Analysis on Diffusion Tensor Estimation. [Internet] [Thesis]. University of Wolverhampton; 2017. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/2436/621860.

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

Council of Science Editors:

Yan J. Statistical Analysis on Diffusion Tensor Estimation. [Thesis]. University of Wolverhampton; 2017. Available from: http://hdl.handle.net/2436/621860

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


Duke University

10. PETRALIA, FRANCESCA. Structured Bayesian learning through mixture models .

Degree: 2013, Duke University

  In this thesis, we develop some Bayesian mixture density estimation for univariate and multivariate data. We start proposing a repulsive process favoring mixture components… (more)

Subjects/Keywords: Statistics; Bayesian density estimation; Bayesian Nonparametric; Mixture Models

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APA (6th Edition):

PETRALIA, F. (2013). Structured Bayesian learning through mixture models . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/8065

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

Chicago Manual of Style (16th Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Thesis, Duke University. Accessed September 16, 2019. http://hdl.handle.net/10161/8065.

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

MLA Handbook (7th Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Web. 16 Sep 2019.

Vancouver:

PETRALIA F. Structured Bayesian learning through mixture models . [Internet] [Thesis]. Duke University; 2013. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/10161/8065.

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

Council of Science Editors:

PETRALIA F. Structured Bayesian learning through mixture models . [Thesis]. Duke University; 2013. Available from: http://hdl.handle.net/10161/8065

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


Texas A&M University

11. Weisman, Ryan Michael 1984-. Nonlinear Transformations and Filtering Theory for Space Operations.

Degree: 2012, Texas A&M University

 Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the… (more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

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APA (6th Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

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

Chicago Manual of Style (16th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Thesis, Texas A&M University. Accessed September 16, 2019. http://hdl.handle.net/1969.1/148211.

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

MLA Handbook (7th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 16 Sep 2019.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1969.1/148211.

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

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211

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


University of Oulu

12. Nissilä, M. (Mauri). Iterative receivers for digital communications via variational inference and estimation.

Degree: 2008, University of Oulu

 Abstract In this thesis, iterative detection and estimation algorithms for digital communications systems in the presence of parametric uncertainty are explored and further developed. In… (more)

Subjects/Keywords: Bayesian inference and estimation; EM algorithm; frequency offset estimation; turbo receivers

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APA (6th Edition):

Nissilä, M. (. (2008). Iterative receivers for digital communications via variational inference and estimation. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514286865

Chicago Manual of Style (16th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Doctoral Dissertation, University of Oulu. Accessed September 16, 2019. http://urn.fi/urn:isbn:9789514286865.

MLA Handbook (7th Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Web. 16 Sep 2019.

Vancouver:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2019 Sep 16]. Available from: http://urn.fi/urn:isbn:9789514286865.

Council of Science Editors:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Doctoral Dissertation]. University of Oulu; 2008. Available from: http://urn.fi/urn:isbn:9789514286865

13. Marques Filho, Paulo Cilas. Análise bayesiana de densidades aleatórias simples.

Degree: PhD, Estatística, 2011, University of São Paulo

Definimos, a partir de uma partição de um intervalo limitado da reta real formada por subintervalos, uma distribuição a priori sobre uma classe de densidades… (more)

Subjects/Keywords: Bayesian density estimation; Bayesian nonparametrics; Estimação bayesiana de densidade; Inferência bayesiana não paramétrica

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APA (6th Edition):

Marques Filho, P. C. (2011). Análise bayesiana de densidades aleatórias simples. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;

Chicago Manual of Style (16th Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Doctoral Dissertation, University of São Paulo. Accessed September 16, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;.

MLA Handbook (7th Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Web. 16 Sep 2019.

Vancouver:

Marques Filho PC. Análise bayesiana de densidades aleatórias simples. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2019 Sep 16]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;.

Council of Science Editors:

Marques Filho PC. Análise bayesiana de densidades aleatórias simples. [Doctoral Dissertation]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;


Delft University of Technology

14. Zilko, A.A. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.

Degree: 2012, Delft University of Technology

 Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties… (more)

Subjects/Keywords: Ensemble Kalman Filter; Non-Parametric Bayesian Networks; Parameter Estimation; Reservoir Engineering; Reservoir Simulation; Bayesian Networks

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APA (6th Edition):

Zilko, A. A. (2012). Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

Chicago Manual of Style (16th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Masters Thesis, Delft University of Technology. Accessed September 16, 2019. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7th Edition):

Zilko, A A. “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:.” 2012. Web. 16 Sep 2019.

Vancouver:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Sep 16]. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

Council of Science Editors:

Zilko AA. Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8


University of Edinburgh

15. Huang, Yuanhua. Structured Bayesian methods for splicing analysis in RNA-seq data.

Degree: PhD, 2018, University of Edinburgh

 In most eukaryotes, alternative splicing is an important regulatory mechanism of gene expression that results in a single gene coding for multiple protein isoforms, thus… (more)

Subjects/Keywords: alternative splicing; Bayesian methods; DICEseq; isoform quantification; Bayesian Regression for Isoform Estimation; scRNA-seq

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APA (6th Edition):

Huang, Y. (2018). Structured Bayesian methods for splicing analysis in RNA-seq data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31328

Chicago Manual of Style (16th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed September 16, 2019. http://hdl.handle.net/1842/31328.

MLA Handbook (7th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Web. 16 Sep 2019.

Vancouver:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1842/31328.

Council of Science Editors:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31328

16. Awan, Nasir Majeed. Predicting software test effort in iterative development using a dynamic Bayesian network.

Degree: 2010, , School of Computing

  It is important to manage iterative projects in a way to maximize quality and minimize cost. To achieve high quality, accurate project estimates are… (more)

Subjects/Keywords: Software test effort estimation; Bayesian network; dynamic Bayesian network; Iterative development; test effort estimation in iterative development.; Software Engineering; Programvaruteknik

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APA (6th Edition):

Awan, N. M. (2010). Predicting software test effort in iterative development using a dynamic Bayesian network. (Thesis). , School of Computing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042

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

Chicago Manual of Style (16th Edition):

Awan, Nasir Majeed. “Predicting software test effort in iterative development using a dynamic Bayesian network.” 2010. Thesis, , School of Computing. Accessed September 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042.

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

MLA Handbook (7th Edition):

Awan, Nasir Majeed. “Predicting software test effort in iterative development using a dynamic Bayesian network.” 2010. Web. 16 Sep 2019.

Vancouver:

Awan NM. Predicting software test effort in iterative development using a dynamic Bayesian network. [Internet] [Thesis]. , School of Computing; 2010. [cited 2019 Sep 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042.

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

Council of Science Editors:

Awan NM. Predicting software test effort in iterative development using a dynamic Bayesian network. [Thesis]. , School of Computing; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6042

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


University of California – Riverside

17. Roysdon, Paul F. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.

Degree: Electrical Engineering, 2017, University of California – Riverside

 Many highway vehicle applications require reliable, high precision navigation (errorless than meter level) while using low-cost consumer-grade inertial and global navigationsatellite systems (GNSS). The application… (more)

Subjects/Keywords: Robotics; Applied mathematics; Engineering; Bayesian Estimation; EKF; GPS-INS; Optimal Estimation; Outlier Detection; SLAM

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APA (6th Edition):

Roysdon, P. F. (2017). Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/70x799kr

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

Chicago Manual of Style (16th Edition):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Thesis, University of California – Riverside. Accessed September 16, 2019. http://www.escholarship.org/uc/item/70x799kr.

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

MLA Handbook (7th Edition):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Web. 16 Sep 2019.

Vancouver:

Roysdon PF. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. [Internet] [Thesis]. University of California – Riverside; 2017. [cited 2019 Sep 16]. Available from: http://www.escholarship.org/uc/item/70x799kr.

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

Council of Science Editors:

Roysdon PF. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. [Thesis]. University of California – Riverside; 2017. Available from: http://www.escholarship.org/uc/item/70x799kr

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

18. Ruggiero, Giovanni Abdelnur. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.

Degree: Docteur es, Sciences de la planète et de l'univers, 2014, Nice

Cette thèse a développé et mis en œuvre des algorithmes itératifs d'assimilation de données pour un modèle d'océan aux équations primitives, et les a comparés… (more)

Subjects/Keywords: Assimilation de données; Estimation bayesienne; Data assimilation; Nudging; Back and forth nudging; Bayesian estimation

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

APA (6th Edition):

Ruggiero, G. A. (2014). Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2014NICE4011

Chicago Manual of Style (16th Edition):

Ruggiero, Giovanni Abdelnur. “Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.” 2014. Doctoral Dissertation, Nice. Accessed September 16, 2019. http://www.theses.fr/2014NICE4011.

MLA Handbook (7th Edition):

Ruggiero, Giovanni Abdelnur. “Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models.” 2014. Web. 16 Sep 2019.

Vancouver:

Ruggiero GA. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. [Internet] [Doctoral dissertation]. Nice; 2014. [cited 2019 Sep 16]. Available from: http://www.theses.fr/2014NICE4011.

Council of Science Editors:

Ruggiero GA. Une étude comparative de méthodes d'assimilation de données pour des modèles océaniques : A comparative study of data assimilation methods for oceanic models. [Doctoral Dissertation]. Nice; 2014. Available from: http://www.theses.fr/2014NICE4011


Virginia Tech

19. Takami, Kuya. Non-Field-of-View Acoustic Target Estimation.

Degree: PhD, Mechanical Engineering, 2015, Virginia Tech

 This dissertation proposes a new framework to Non-Field-of-view (NFOV) sound source localization and tracking in indoor environments. The approach takes advantage of sound signal information… (more)

Subjects/Keywords: acoustic target estimation; non-line-of-sight localization; recursive Bayesian estimation; sensor fusion

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APA (6th Edition):

Takami, K. (2015). Non-Field-of-View Acoustic Target Estimation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56892

Chicago Manual of Style (16th Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 16, 2019. http://hdl.handle.net/10919/56892.

MLA Handbook (7th Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Web. 16 Sep 2019.

Vancouver:

Takami K. Non-Field-of-View Acoustic Target Estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/10919/56892.

Council of Science Editors:

Takami K. Non-Field-of-View Acoustic Target Estimation. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/56892


INP Toulouse

20. Albughdadi, Mohanad. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.

Degree: Docteur es, Signal, Image, Acoustique et Optimisation, 2016, INP Toulouse

 La parcellisation du cerveau en un certain nombre de régions hémodynamiques homogènes est toujours un défi majeur en analyse des données d’imagerie par résonance magnétique… (more)

Subjects/Keywords: IRMf; Bayésien; Variationnel; Détection; Estimation; Parcellation; FMRI; Bayesian; Variational; Detection; Estimation; Parcellation

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APA (6th Edition):

Albughdadi, M. (2016). Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2016INPT0063

Chicago Manual of Style (16th Edition):

Albughdadi, Mohanad. “Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.” 2016. Doctoral Dissertation, INP Toulouse. Accessed September 16, 2019. http://www.theses.fr/2016INPT0063.

MLA Handbook (7th Edition):

Albughdadi, Mohanad. “Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles.” 2016. Web. 16 Sep 2019.

Vancouver:

Albughdadi M. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. [Internet] [Doctoral dissertation]. INP Toulouse; 2016. [cited 2019 Sep 16]. Available from: http://www.theses.fr/2016INPT0063.

Council of Science Editors:

Albughdadi M. Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints : Détection-estimation conjointe pour l'IRM fonctionnelle avec des approches bayésiennes et bayésiennes variationnelles. [Doctoral Dissertation]. INP Toulouse; 2016. Available from: http://www.theses.fr/2016INPT0063


Delft University of Technology

21. Chitchian, M.M. Adapting Particle Filter Algorithms to the GPU Architecture:.

Degree: 2011, Delft University of Technology

 The particle filter is a Bayesian estimation technique based on Monte Carlo simulations. The non-parametric nature of particle filters makes them ideal for non-linear non-Gaussian… (more)

Subjects/Keywords: particle filter; bayesian estimation; CUDA; GPGPU; GPU; bayes filter; non-linear estimation; distributed particle filter; real-time estimation; parallel particle filter

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

APA (6th Edition):

Chitchian, M. M. (2011). Adapting Particle Filter Algorithms to the GPU Architecture:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

Chicago Manual of Style (16th Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Masters Thesis, Delft University of Technology. Accessed September 16, 2019. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

MLA Handbook (7th Edition):

Chitchian, M M. “Adapting Particle Filter Algorithms to the GPU Architecture:.” 2011. Web. 16 Sep 2019.

Vancouver:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2019 Sep 16]. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

Council of Science Editors:

Chitchian MM. Adapting Particle Filter Algorithms to the GPU Architecture:. [Masters Thesis]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f


University of Alberta

22. Shao, Xinguang. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.

Degree: PhD, Department of Chemical and Materials Engineering, 2012, University of Alberta

 For chemical engineering processes, state estimation plays a key role in various applications such as process monitoring, fault detection, process optimization and model based control.… (more)

Subjects/Keywords: Bayesian State Estimation; Particle Filter; Oil Sands Extraction; Soft Sensor

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APA (6th Edition):

Shao, X. (2012). Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/707957685

Chicago Manual of Style (16th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Doctoral Dissertation, University of Alberta. Accessed September 16, 2019. https://era.library.ualberta.ca/files/707957685.

MLA Handbook (7th Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Web. 16 Sep 2019.

Vancouver:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Sep 16]. Available from: https://era.library.ualberta.ca/files/707957685.

Council of Science Editors:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/707957685


Texas A&M University

23. Katiyar, Ashish. Determination of Cancer Tissue Heterogeneity.

Degree: 2017, Texas A&M University

 Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its… (more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

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APA (6th Edition):

Katiyar, A. (2017). Determination of Cancer Tissue Heterogeneity. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161403

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

Chicago Manual of Style (16th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Thesis, Texas A&M University. Accessed September 16, 2019. http://hdl.handle.net/1969.1/161403.

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

MLA Handbook (7th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 16 Sep 2019.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1969.1/161403.

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

Council of Science Editors:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161403

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


Syracuse University

24. ZHENG, YUJIAO. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.

Degree: PhD, Electrical Engineering and Computer Science, 2014, Syracuse University

  Distributed inference arising in sensor networks has been an interesting and promising discipline in recent years. The goal of this dissertation is to investigate… (more)

Subjects/Keywords: Bayesian estimation; Kalman filtering; Particle filtering; Sensor networks; Target tracking; Engineering

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APA (6th Edition):

ZHENG, Y. (2014). Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/71

Chicago Manual of Style (16th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Doctoral Dissertation, Syracuse University. Accessed September 16, 2019. https://surface.syr.edu/etd/71.

MLA Handbook (7th Edition):

ZHENG, YUJIAO. “Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks.” 2014. Web. 16 Sep 2019.

Vancouver:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Syracuse University; 2014. [cited 2019 Sep 16]. Available from: https://surface.syr.edu/etd/71.

Council of Science Editors:

ZHENG Y. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks. [Doctoral Dissertation]. Syracuse University; 2014. Available from: https://surface.syr.edu/etd/71


University of Hong Kong

25. Cai, Kun. Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems.

Degree: M. Phil., 2009, University of Hong Kong

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Advisors/Committee Members: Ng, TS, Wu, YC.

Subjects/Keywords: Parameter estimation.; Orthogonal frequency division multiplexing.; Bayesian statistical decision theory.

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APA (6th Edition):

Cai, K. (2009). Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. (Masters Thesis). University of Hong Kong. Retrieved from Cai, K. [蔡琨]. (2009). Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4284136 ; http://dx.doi.org/10.5353/th_b4284136 ; http://hdl.handle.net/10722/56484

Chicago Manual of Style (16th Edition):

Cai, Kun. “Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems.” 2009. Masters Thesis, University of Hong Kong. Accessed September 16, 2019. Cai, K. [蔡琨]. (2009). Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4284136 ; http://dx.doi.org/10.5353/th_b4284136 ; http://hdl.handle.net/10722/56484.

MLA Handbook (7th Edition):

Cai, Kun. “Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems.” 2009. Web. 16 Sep 2019.

Vancouver:

Cai K. Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. [Internet] [Masters thesis]. University of Hong Kong; 2009. [cited 2019 Sep 16]. Available from: Cai, K. [蔡琨]. (2009). Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4284136 ; http://dx.doi.org/10.5353/th_b4284136 ; http://hdl.handle.net/10722/56484.

Council of Science Editors:

Cai K. Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. [Masters Thesis]. University of Hong Kong; 2009. Available from: Cai, K. [蔡琨]. (2009). Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4284136 ; http://dx.doi.org/10.5353/th_b4284136 ; http://hdl.handle.net/10722/56484


The Ohio State University

26. White, Staci A. Quantifying Model Error in Bayesian Parameter Estimation.

Degree: PhD, Statistics, 2015, The Ohio State University

 As technological power increases, statistical models are becoming increasing complex. In a Bayesian analysis, performing parametric inference typically requires exploring the posterior distribution using Markov… (more)

Subjects/Keywords: Statistics; Model Error; Bayesian Estimation; Hierarchical Model; Approximation; Kullback-Leibler; divergence

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APA (6th Edition):

White, S. A. (2015). Quantifying Model Error in Bayesian Parameter Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

Chicago Manual of Style (16th Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

MLA Handbook (7th Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Web. 16 Sep 2019.

Vancouver:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Sep 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

Council of Science Editors:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825


Penn State University

27. Teng, Huei-Wen. BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION.

Degree: MS, Statistics, 2009, Penn State University

 Mixture models provide a convenient and flexible class of models for density estimation. They are typically used to model data generated from one of a… (more)

Subjects/Keywords: density estimation; Bayesian anlaysis; mixture models; Dirichlet process

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APA (6th Edition):

Teng, H. (2009). BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9499

Chicago Manual of Style (16th Edition):

Teng, Huei-Wen. “BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION.” 2009. Masters Thesis, Penn State University. Accessed September 16, 2019. https://etda.libraries.psu.edu/catalog/9499.

MLA Handbook (7th Edition):

Teng, Huei-Wen. “BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION.” 2009. Web. 16 Sep 2019.

Vancouver:

Teng H. BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Sep 16]. Available from: https://etda.libraries.psu.edu/catalog/9499.

Council of Science Editors:

Teng H. BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9499


Cornell University

28. Veilleux, Andrea. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics .

Degree: 2011, Cornell University

 The research presented in this dissertation develops new statistical techniques for estimating regional relationships of hydrologic statistics. These techniques include extensions of the quasi-analytic Bayesian(more)

Subjects/Keywords: Bayesian GLS Regression; Leverage and Influence; Regional Skewness Estimation

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APA (6th Edition):

Veilleux, A. (2011). Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30607

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

Chicago Manual of Style (16th Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics .” 2011. Thesis, Cornell University. Accessed September 16, 2019. http://hdl.handle.net/1813/30607.

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

MLA Handbook (7th Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics .” 2011. Web. 16 Sep 2019.

Vancouver:

Veilleux A. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Sep 16]. Available from: http://hdl.handle.net/1813/30607.

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

Council of Science Editors:

Veilleux A. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30607

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


Southern Illinois University

29. Chang, Meng-I. A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models.

Degree: PhD, Quantitative Methods, 2017, Southern Illinois University

  The fully Bayesian estimation via the use of Markov chain Monte Carlo (MCMC) techniques has become popular for estimating item response theory (IRT) models.… (more)

Subjects/Keywords: 2PL IRT models; Fully Bayesian estimation; Gibbs sampling; MCMC; NUTS

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APA (6th Edition):

Chang, M. (2017). A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models. (Doctoral Dissertation). Southern Illinois University. Retrieved from http://opensiuc.lib.siu.edu/dissertations/1446

Chicago Manual of Style (16th Edition):

Chang, Meng-I. “A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models.” 2017. Doctoral Dissertation, Southern Illinois University. Accessed September 16, 2019. http://opensiuc.lib.siu.edu/dissertations/1446.

MLA Handbook (7th Edition):

Chang, Meng-I. “A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models.” 2017. Web. 16 Sep 2019.

Vancouver:

Chang M. A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models. [Internet] [Doctoral dissertation]. Southern Illinois University; 2017. [cited 2019 Sep 16]. Available from: http://opensiuc.lib.siu.edu/dissertations/1446.

Council of Science Editors:

Chang M. A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models. [Doctoral Dissertation]. Southern Illinois University; 2017. Available from: http://opensiuc.lib.siu.edu/dissertations/1446


Carnegie Mellon University

30. Gu, Yiming. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.

Degree: 2017, Carnegie Mellon University

 Traffic state estimation (TSE) aims to estimate the time-varying traffic characteristics (such as flow rate, flow speed, flow density, and occurrence of incidents) of all… (more)

Subjects/Keywords: Bayesian; Big Data; Hadoop; Intelligent Transportation System; Traffic State Estimation; Transportation

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APA (6th Edition):

Gu, Y. (2017). Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/800

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

Chicago Manual of Style (16th Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Thesis, Carnegie Mellon University. Accessed September 16, 2019. http://repository.cmu.edu/dissertations/800.

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

MLA Handbook (7th Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Web. 16 Sep 2019.

Vancouver:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2019 Sep 16]. Available from: http://repository.cmu.edu/dissertations/800.

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

Council of Science Editors:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/800

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

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