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INP Toulouse

1.
Lesouple, Julien.
* Estimation* parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse

Degree: Docteur es, Informatique et Télécommunication, 2019, INP Toulouse

URL: http://www.theses.fr/2019INPT0020

►

L’évolution des technologies électroniques (miniaturisation, diminution des coûts) a permis aux GNSS (systèmes de navigation par satellites) d’être de plus en plus accessibles et doncutilisés… (more)

Subjects/Keywords: Gnss; Navigation; Estimation parcimonieuse; Estimation bayésienne; Multitrajets; Gnss; Navigation; Sparse estimation; Bayesian estimation; Multipth

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

APA (6^{th} Edition):

Lesouple, J. (2019). Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2019INPT0020

Chicago Manual of Style (16^{th} Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Doctoral Dissertation, INP Toulouse. Accessed September 20, 2020. http://www.theses.fr/2019INPT0020.

MLA Handbook (7^{th} Edition):

Lesouple, Julien. “Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS.” 2019. Web. 20 Sep 2020.

Vancouver:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Internet] [Doctoral dissertation]. INP Toulouse; 2019. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2019INPT0020.

Council of Science Editors:

Lesouple J. Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS : Sparse estimation of multipath biases for GNSS. [Doctoral Dissertation]. INP Toulouse; 2019. Available from: http://www.theses.fr/2019INPT0020

Cornell University

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

Degree: PhD, Mechanical Engineering, 2015, Cornell University

URL: http://hdl.handle.net/1813/40632

► 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 (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots.” 2015. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/40632.

MLA Handbook (7^{th} Edition):

Havlak, Francis. “Probabilistic Anticipation For Autonomous Urban Robots.” 2015. Web. 20 Sep 2020.

Vancouver:

Havlak F. Probabilistic Anticipation For Autonomous Urban Robots. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/40632.

Council of Science Editors:

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

Vanderbilt University

3.
Chen, Kan.
Essays on international real business cycle models and *Bayesian* * estimation*.

Degree: PhD, Economics, 2013, Vanderbilt University

URL: http://hdl.handle.net/1803/12919

► 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 (6^{th} Edition):

Chen, K. (2013). Essays on international real business cycle models and Bayesian estimation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12919

Chicago Manual of Style (16^{th} Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed September 20, 2020. http://hdl.handle.net/1803/12919.

MLA Handbook (7^{th} Edition):

Chen, Kan. “Essays on international real business cycle models and Bayesian estimation.” 2013. Web. 20 Sep 2020.

Vancouver:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1803/12919.

Council of Science Editors:

Chen K. Essays on international real business cycle models and Bayesian estimation. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12919

University of Rochester

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

Degree: PhD, 2009, University of Rochester

URL: http://hdl.handle.net/1802/7838

► 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 (6^{th} 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 (16^{th} Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Doctoral Dissertation, University of Rochester. Accessed September 20, 2020. http://hdl.handle.net/1802/7838.

MLA Handbook (7^{th} Edition):

Voleti, Sudhir (1977 - ). “Estimating brand equity from aggregate data.” 2009. Web. 20 Sep 2020.

Vancouver:

Voleti S(-). Estimating brand equity from aggregate data. [Internet] [Doctoral dissertation]. University of Rochester; 2009. [cited 2020 Sep 20]. 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

5.
Yildirim, Sinan.
Maximum likelihood parameter *estimation* in time series models using sequential Monte Carlo.

Degree: PhD, 2013, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg

► Time series models are used to characterise uncertainty in many real-world dynamical phenomena. A time series model typically contains a static variable, called parameter, which…
(more)

Subjects/Keywords: Sequential Monte Carlo; Parameter estimation; Bayesian statistics

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

APA (6^{th} Edition):

Yildirim, S. (2013). Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg

Chicago Manual of Style (16^{th} Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Doctoral Dissertation, University of Cambridge. Accessed September 20, 2020. http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg.

MLA Handbook (7^{th} Edition):

Yildirim, Sinan. “Maximum likelihood parameter estimation in time series models using sequential Monte Carlo.” 2013. Web. 20 Sep 2020.

Vancouver:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Internet] [Doctoral dissertation]. University of Cambridge; 2013. [cited 2020 Sep 20]. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg.

Council of Science Editors:

Yildirim S. Maximum likelihood parameter estimation in time series models using sequential Monte Carlo. [Doctoral Dissertation]. University of Cambridge; 2013. Available from: http://www.dspace.cam.ac.uk/handle/1810/244707https://www.repository.cam.ac.uk/bitstream/1810/244707/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/244707/6/thesis.pdf.jpg

University of Wolverhampton

6.
Yan, Jiajia.
Statistical analysis on diffusion tensor * estimation*.

Degree: PhD, 2017, University of Wolverhampton

URL: http://hdl.handle.net/2436/621860

► 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 (6^{th} Edition):

Yan, J. (2017). Statistical analysis on diffusion tensor estimation. (Doctoral Dissertation). University of Wolverhampton. Retrieved from http://hdl.handle.net/2436/621860

Chicago Manual of Style (16^{th} Edition):

Yan, Jiajia. “Statistical analysis on diffusion tensor estimation.” 2017. Doctoral Dissertation, University of Wolverhampton. Accessed September 20, 2020. http://hdl.handle.net/2436/621860.

MLA Handbook (7^{th} Edition):

Yan, Jiajia. “Statistical analysis on diffusion tensor estimation.” 2017. Web. 20 Sep 2020.

Vancouver:

Yan J. Statistical analysis on diffusion tensor estimation. [Internet] [Doctoral dissertation]. University of Wolverhampton; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2436/621860.

Council of Science Editors:

Yan J. Statistical analysis on diffusion tensor estimation. [Doctoral Dissertation]. University of Wolverhampton; 2017. Available from: http://hdl.handle.net/2436/621860

University of Texas – Austin

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

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

URL: http://hdl.handle.net/2152/30934

► 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 (6^{th} 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 (16^{th} Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/30934.

MLA Handbook (7^{th} Edition):

Wright, April Marie. “Estimating phylogenetic trees from discrete morphological data.” 2015. Web. 20 Sep 2020.

Vancouver:

Wright AM. Estimating phylogenetic trees from discrete morphological data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Sep 20]. 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

Tampere University

8. 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

URL: https://trepo.tuni.fi/handle/10024/104066

► 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 (6^{th} 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 (16^{th} 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 20, 2020. https://trepo.tuni.fi/handle/10024/104066.

MLA Handbook (7^{th} 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. 20 Sep 2020.

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 2020 Sep 20]. 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

Baylor University

9.
Falley, Brandi.
* Bayesian* approaches for design of psychometric studies with underreporting and misclassification.

Degree: PhD, Statistical Sciences., 2013, Baylor University

URL: http://hdl.handle.net/2104/8571

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

APA (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification.” 2013. Doctoral Dissertation, Baylor University. Accessed September 20, 2020. http://hdl.handle.net/2104/8571.

MLA Handbook (7^{th} Edition):

Falley, Brandi. “Bayesian approaches for design of psychometric studies with underreporting and misclassification.” 2013. Web. 20 Sep 2020.

Vancouver:

Falley B. Bayesian approaches for design of psychometric studies with underreporting and misclassification. [Internet] [Doctoral dissertation]. Baylor University; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2104/8571.

Council of Science Editors:

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

Colorado School of Mines

10. 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

URL: http://hdl.handle.net/11124/173071

► 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 (6^{th} 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 (16^{th} Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Masters Thesis, Colorado School of Mines. Accessed September 20, 2020. http://hdl.handle.net/11124/173071.

MLA Handbook (7^{th} Edition):

Engler, Davis. “Efficient stochastic computational framework for estimating and updating earthquake fatalities, An.” 2019. Web. 20 Sep 2020.

Vancouver:

Engler D. Efficient stochastic computational framework for estimating and updating earthquake fatalities, An. [Internet] [Masters thesis]. Colorado School of Mines; 2019. [cited 2020 Sep 20]. 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

Duke University

11.
PETRALIA, FRANCESCA.
Structured *Bayesian* learning through mixture models
.

Degree: 2013, Duke University

URL: http://hdl.handle.net/10161/8065

► 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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Thesis, Duke University. Accessed September 20, 2020. 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 (7^{th} Edition):

PETRALIA, FRANCESCA. “Structured Bayesian learning through mixture models .” 2013. Web. 20 Sep 2020.

Vancouver:

PETRALIA F. Structured Bayesian learning through mixture models . [Internet] [Thesis]. Duke University; 2013. [cited 2020 Sep 20]. 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

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

URL: http://urn.fi/urn:isbn:9789514286865

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Doctoral Dissertation, University of Oulu. Accessed September 20, 2020. http://urn.fi/urn:isbn:9789514286865.

MLA Handbook (7^{th} Edition):

Nissilä, M (Mauri). “Iterative receivers for digital communications via variational inference and estimation.” 2008. Web. 20 Sep 2020.

Vancouver:

Nissilä M(. Iterative receivers for digital communications via variational inference and estimation. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2020 Sep 20]. 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

University of Georgia

13.
Kim, Insuk.
A comparison of a *Bayesian* and maximum likelihood algorithms for *estimation* of a multilevel IRT model.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/23891

► Multilevel Item Response Theory (IRT) models provide an analytic approach that formally incorporates the hierarchical structure characteristic of much educational and psychological data. In this…
(more)

Subjects/Keywords: Multilevel Item Response Theory; Maximum Likelihood Estimation; Bayesian Estimation

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APA (6^{th} Edition):

Kim, I. (2014). A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23891

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kim, Insuk. “A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model.” 2014. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/23891.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kim, Insuk. “A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model.” 2014. Web. 20 Sep 2020.

Vancouver:

Kim I. A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/23891.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim I. A comparison of a Bayesian and maximum likelihood algorithms for estimation of a multilevel IRT model. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23891

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

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

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148211

► 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

Record Details Similar Records

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APA (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Doctoral Dissertation, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/148211.

MLA Handbook (7^{th} Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 20 Sep 2020.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/148211.

Council of Science Editors:

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

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

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

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Doctoral Dissertation, University of São Paulo. Accessed September 20, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-25052012-184549/ ;.

MLA Handbook (7^{th} Edition):

Marques Filho, Paulo Cilas. “Análise bayesiana de densidades aleatórias simples.” 2011. Web. 20 Sep 2020.

Vancouver:

Marques Filho PC. Análise bayesiana de densidades aleatórias simples. [Internet] [Doctoral dissertation]. University of São Paulo; 2011. [cited 2020 Sep 20]. 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/ ;

University of Edinburgh

16.
Huang, Yuanhua.
Structured *Bayesian* methods for splicing analysis in RNA-seq data.

Degree: PhD, 2018, University of Edinburgh

URL: http://hdl.handle.net/1842/31328

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/31328.

MLA Handbook (7^{th} Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Web. 20 Sep 2020.

Vancouver:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2020 Sep 20]. 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

Delft University of Technology

17.
Zilko, A.A. (author).
Non-Parametric *Bayesian* Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise.

Degree: 2012, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Zilko, A A (author). “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 20, 2020. http://resolver.tudelft.nl/uuid:97469901-4724-4c0b-851e-0eefb100adc8.

MLA Handbook (7^{th} Edition):

Zilko, A A (author). “Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise.” 2012. Web. 20 Sep 2020.

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 2020 Sep 20]. 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

18.
Roysdon, Paul F.
Robust GPS-INS Outlier Accommodation in Nonlinear *Bayesian* Optimal * Estimation*.

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

URL: http://www.escholarship.org/uc/item/70x799kr

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Thesis, University of California – Riverside. Accessed September 20, 2020. http://www.escholarship.org/uc/item/70x799kr.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Roysdon, Paul F. “Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation.” 2017. Web. 20 Sep 2020.

Vancouver:

Roysdon PF. Robust GPS-INS Outlier Accommodation in Nonlinear Bayesian Optimal Estimation. [Internet] [Thesis]. University of California – Riverside; 2017. [cited 2020 Sep 20]. Available from: http://www.escholarship.org/uc/item/70x799kr.

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

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

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

Degree: PhD, Mechanical Engineering, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/56892

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 20, 2020. http://hdl.handle.net/10919/56892.

MLA Handbook (7^{th} Edition):

Takami, Kuya. “Non-Field-of-View Acoustic Target Estimation.” 2015. Web. 20 Sep 2020.

Vancouver:

Takami K. Non-Field-of-View Acoustic Target Estimation. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Sep 20]. 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-

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

URL: http://www.theses.fr/2016INPT0063

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 20, 2020. http://www.theses.fr/2016INPT0063.

MLA Handbook (7^{th} 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. 20 Sep 2020.

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 2020 Sep 20]. 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

21. 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

URL: http://www.theses.fr/2014NICE4011

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 20, 2020. http://www.theses.fr/2014NICE4011.

MLA Handbook (7^{th} 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. 20 Sep 2020.

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 2020 Sep 20]. 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

Delft University of Technology

22. Chitchian, M.M. (author). Adapting Particle Filter Algorithms to the GPU Architecture.

Degree: 2011, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f

►

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

Chitchian, M M (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Masters Thesis, Delft University of Technology. Accessed September 20, 2020. http://resolver.tudelft.nl/uuid:9b11258e-cd9c-494d-bbb7-3b85c700b30f.

MLA Handbook (7^{th} Edition):

Chitchian, M M (author). “Adapting Particle Filter Algorithms to the GPU Architecture.” 2011. Web. 20 Sep 2020.

Vancouver:

Chitchian MM(. Adapting Particle Filter Algorithms to the GPU Architecture. [Internet] [Masters thesis]. Delft University of Technology; 2011. [cited 2020 Sep 20]. 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 Georgia

23. Pacifici, Jamian Krishna. Conservation and management of rare species.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/27555

► Conservation and management of rare species is one of the most challenging tasks confronting natural resource managers. Species are classified as rare for several reasons:…
(more)

Subjects/Keywords: Adaptive sampling; Bayesian hierarchical modeling; Design-based estimation; Detection probability; Ivory-billed woodpecker; Model-based estimation; Occupancy estimation; Rare species

Record Details Similar Records

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

APA (6^{th} Edition):

Pacifici, J. K. (2014). Conservation and management of rare species. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27555

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Pacifici, Jamian Krishna. “Conservation and management of rare species.” 2014. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/27555.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pacifici, Jamian Krishna. “Conservation and management of rare species.” 2014. Web. 20 Sep 2020.

Vancouver:

Pacifici JK. Conservation and management of rare species. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/27555.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pacifici JK. Conservation and management of rare species. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27555

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

24.
White, Staci A.
Quantifying Model Error in *Bayesian* Parameter
* Estimation*.

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 20, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433771825.

MLA Handbook (7^{th} Edition):

White, Staci A. “Quantifying Model Error in Bayesian Parameter Estimation.” 2015. Web. 20 Sep 2020.

Vancouver:

White SA. Quantifying Model Error in Bayesian Parameter Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2020 Sep 20]. 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

Carnegie Mellon University

25.
Gu, Yiming.
* Bayesian*-based Traffic State

Degree: 2017, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/800

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Thesis, Carnegie Mellon University. Accessed September 20, 2020. http://repository.cmu.edu/dissertations/800.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gu, Yiming. “Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data.” 2017. Web. 20 Sep 2020.

Vancouver:

Gu Y. Bayesian-based Traffic State Estimation in Large-Scale Networks Using Big Data. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Sep 20]. Available from: http://repository.cmu.edu/dissertations/800.

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

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

26.
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

URL: https://era.library.ualberta.ca/files/707957685

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Doctoral Dissertation, University of Alberta. Accessed September 20, 2020. https://era.library.ualberta.ca/files/707957685.

MLA Handbook (7^{th} Edition):

Shao, Xinguang. “Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development.” 2012. Web. 20 Sep 2020.

Vancouver:

Shao X. Particle Filter for Bayesian State Estimation and Its Application to Soft Sensor Development. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2020 Sep 20]. 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

Cornell University

27.
Veilleux, Andrea.
* Bayesian* Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.

Degree: PhD, Civil and Environmental Engineering, 2011, Cornell University

URL: http://hdl.handle.net/1813/30607

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.” 2011. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/30607.

MLA Handbook (7^{th} Edition):

Veilleux, Andrea. “Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics.” 2011. Web. 20 Sep 2020.

Vancouver:

Veilleux A. Bayesian Gls Regression, Leverage, And Influence For Regionalization Of Hydrologic Statistics. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/30607.

Council of Science Editors:

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

Cornell University

28.
Shafquat, Afrah.
Improving GWAS phenotypes through *Bayesian* and machine learning approaches.

Degree: PhD, Computational Biology, 2020, Cornell University

URL: http://hdl.handle.net/1813/70464

► Large-scale genome-wide association studies (GWAS) have enabled detection of numerous candidate genetic loci that may impact human diseases, expanded our knowledge about the underlying biological…
(more)

Subjects/Keywords: Bayesian; disease risk estimation; GWAS; MCMC; misclassification; phenotypes

Record Details Similar Records

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

APA (6^{th} Edition):

Shafquat, A. (2020). Improving GWAS phenotypes through Bayesian and machine learning approaches. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70464

Chicago Manual of Style (16^{th} Edition):

Shafquat, Afrah. “Improving GWAS phenotypes through Bayesian and machine learning approaches.” 2020. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/70464.

MLA Handbook (7^{th} Edition):

Shafquat, Afrah. “Improving GWAS phenotypes through Bayesian and machine learning approaches.” 2020. Web. 20 Sep 2020.

Vancouver:

Shafquat A. Improving GWAS phenotypes through Bayesian and machine learning approaches. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/70464.

Council of Science Editors:

Shafquat A. Improving GWAS phenotypes through Bayesian and machine learning approaches. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/70464

Texas A&M University

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

Degree: MS, Electrical Engineering, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161403

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Chicago Manual of Style (16^{th} Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Masters Thesis, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/161403.

MLA Handbook (7^{th} Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 20 Sep 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/161403.

Council of Science Editors:

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

Penn State University

30. Wu, Yingxian. Essays on consumers' purchase behavior for fresh fruits and vegetables.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13092yxw159

► This study examines consumers’ purchase behavior for fresh fruits and vegetables (f&v) using the Nielsen Homescan data for a major metropolitan area. It contains two…
(more)

Subjects/Keywords: consumer purchase behavior; fruits and vegetables; store choice; Bayesian estimation

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APA (6^{th} Edition):

Wu, Y. (2016). Essays on consumers' purchase behavior for fresh fruits and vegetables. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13092yxw159

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wu, Yingxian. “Essays on consumers' purchase behavior for fresh fruits and vegetables.” 2016. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/13092yxw159.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wu, Yingxian. “Essays on consumers' purchase behavior for fresh fruits and vegetables.” 2016. Web. 20 Sep 2020.

Vancouver:

Wu Y. Essays on consumers' purchase behavior for fresh fruits and vegetables. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/13092yxw159.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu Y. Essays on consumers' purchase behavior for fresh fruits and vegetables. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13092yxw159

Not specified: Masters Thesis or Doctoral Dissertation