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University of Florida

1.
Sparks, Douglas Kyle.
*Posterior**Consistency* of *Bayesian* *Regression* Models.

Degree: PhD, Statistics, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044654

► We develop conditions for *posterior* *consistency* under a variety of *Bayesian* *regression* models, many of which are both *necessary* and *sufficient*. We allow the number…
(more)

Subjects/Keywords: Bayesian networks; Density; Frequentism; Mathematical independent variables; Multilevel models; Random variables; Regression analysis; Sample size; Statistics; Sufficient conditions; bayes – bayesian – consistency – dimensional – empirical – g – hierarchical – high – necessary – posterior – prior – regression – sufficient – zellner

Record Details Similar Records

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

APA (6^{th} Edition):

Sparks, D. K. (2012). Posterior Consistency of Bayesian Regression Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044654

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

Sparks, Douglas Kyle. “Posterior Consistency of Bayesian Regression Models.” 2012. Doctoral Dissertation, University of Florida. Accessed September 19, 2019. http://ufdc.ufl.edu/UFE0044654.

MLA Handbook (7^{th} Edition):

Sparks, Douglas Kyle. “Posterior Consistency of Bayesian Regression Models.” 2012. Web. 19 Sep 2019.

Vancouver:

Sparks DK. Posterior Consistency of Bayesian Regression Models. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Sep 19]. Available from: http://ufdc.ufl.edu/UFE0044654.

Council of Science Editors:

Sparks DK. Posterior Consistency of Bayesian Regression Models. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044654

University of Illinois – Urbana-Champaign

2.
Yang, Yunwen.
*Bayesian**empirical* likelihood for quantile * regression*.

Degree: PhD, 0329, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/29522

► *Bayesian* inference provides a flexible way of combiningg data with *prior* information. However, quantile *regression* is not equipped with a parametric likelihood, and therefore, *Bayesian*…
(more)

Subjects/Keywords: Efficiency; Empirical likelihood; High quantiles; Quantile regression; Prior; Posterior.

Record Details Similar Records

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

APA (6^{th} Edition):

Yang, Y. (2012). Bayesian empirical likelihood for quantile regression. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29522

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

Yang, Yunwen. “Bayesian empirical likelihood for quantile regression.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed September 19, 2019. http://hdl.handle.net/2142/29522.

MLA Handbook (7^{th} Edition):

Yang, Yunwen. “Bayesian empirical likelihood for quantile regression.” 2012. Web. 19 Sep 2019.

Vancouver:

Yang Y. Bayesian empirical likelihood for quantile regression. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2142/29522.

Council of Science Editors:

Yang Y. Bayesian empirical likelihood for quantile regression. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29522

University of Cincinnati

3. SARTOR, MAUREEN A. TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS.

Degree: PhD, Medicine : Biostatistics (Environmental Health), 2007, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195656673

► DNA microarrays are a revolutionary technology able to measure the expression levels of thousands of genes simultaneously, providing a snapshot in time of a tissue…
(more)

Subjects/Keywords: microarray; empirical Bayes; hierarchical Bayesian model; splines; gene set enrichment analysis; microarray data analysis; posterior predictive p-values

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

APA (6^{th} Edition):

SARTOR, M. A. (2007). TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195656673

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

SARTOR, MAUREEN A. “TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS.” 2007. Doctoral Dissertation, University of Cincinnati. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195656673.

MLA Handbook (7^{th} Edition):

SARTOR, MAUREEN A. “TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS.” 2007. Web. 19 Sep 2019.

Vancouver:

SARTOR MA. TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS. [Internet] [Doctoral dissertation]. University of Cincinnati; 2007. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195656673.

Council of Science Editors:

SARTOR MA. TESTING FOR DIFFERENTIALLY EXPRESSED GENES AND KEY BIOLOGICAL CATEGORIES IN DNA MICROARRAY ANALYSIS. [Doctoral Dissertation]. University of Cincinnati; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195656673

EPFL

4. Leboucq, Alix. Meta-analysis of Incomplete Microarray Studies.

Degree: 2014, EPFL

URL: http://infoscience.epfl.ch/record/202163

► Meta-analysis of microarray studies to produce an overall gene list is relatively straightforward when complete data are available. When some studies lack information, providing only…
(more)

Subjects/Keywords: clustering; empirical Bayes estimation; hierarchical Bayesian model; high-dimensional data; large covariance matrix estimation; MCMC; meta-analysis; microarray gene expression data; modules

Record Details Similar Records

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

APA (6^{th} Edition):

Leboucq, A. (2014). Meta-analysis of Incomplete Microarray Studies. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/202163

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):

Leboucq, Alix. “Meta-analysis of Incomplete Microarray Studies.” 2014. Thesis, EPFL. Accessed September 19, 2019. http://infoscience.epfl.ch/record/202163.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Leboucq, Alix. “Meta-analysis of Incomplete Microarray Studies.” 2014. Web. 19 Sep 2019.

Vancouver:

Leboucq A. Meta-analysis of Incomplete Microarray Studies. [Internet] [Thesis]. EPFL; 2014. [cited 2019 Sep 19]. Available from: http://infoscience.epfl.ch/record/202163.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Leboucq A. Meta-analysis of Incomplete Microarray Studies. [Thesis]. EPFL; 2014. Available from: http://infoscience.epfl.ch/record/202163

Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

5.
Buta, Eugenia.
Computational Approaches for *Empirical* *Bayes* Methods and *Bayesian* Sensitivity Analysis.

Degree: PhD, Statistics, 2010, University of Florida

URL: http://ufdc.ufl.edu/UFE0041145

► Computational Approaches for *Empirical* *Bayes* Methods and *Bayesian* Sensitivity Analysis We consider situations in *Bayesian* analysis where we have a family of priors on the…
(more)

Subjects/Keywords: Bayes estimators; Ergodic theory; Estimation methods; Estimators; Markov chains; Maximum likelihood estimations; Modeling; Point estimators; Skeleton; Statistics; analysis, bayes, bayesian, empirical, factor, hyperparameter, posterior, prior, selection, sensitivity, variable

Record Details Similar Records

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

APA (6^{th} Edition):

Buta, E. (2010). Computational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041145

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

Buta, Eugenia. “Computational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis.” 2010. Doctoral Dissertation, University of Florida. Accessed September 19, 2019. http://ufdc.ufl.edu/UFE0041145.

MLA Handbook (7^{th} Edition):

Buta, Eugenia. “Computational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis.” 2010. Web. 19 Sep 2019.

Vancouver:

Buta E. Computational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Sep 19]. Available from: http://ufdc.ufl.edu/UFE0041145.

Council of Science Editors:

Buta E. Computational Approaches for Empirical Bayes Methods and Bayesian Sensitivity Analysis. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041145

University of Florida

6.
Dasgupta, Shibasish.
*High**Dimensional* Inference and Variable Selection.

Degree: PhD, Statistics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045721

► This dissertation consists of three research projects. The first project focuses on asymptotic expansions of posteriors for generalized linear models (GLM) with canonical link functions…
(more)

Subjects/Keywords: Estimators; Generalized linear model; Linear models; Linear regression; Maximum likelihood estimations; Oracles; Regression analysis; Sample size; Statistical models; Statistics; asymptotic – bayesian – consistency – dimensional – expansion – glm – high – inference – kullback – lasso – leibler – normality – oracle – posterior – property – selection – variable

Record Details Similar Records

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

APA (6^{th} Edition):

Dasgupta, S. (2013). High Dimensional Inference and Variable Selection. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045721

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

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Doctoral Dissertation, University of Florida. Accessed September 19, 2019. http://ufdc.ufl.edu/UFE0045721.

MLA Handbook (7^{th} Edition):

Dasgupta, Shibasish. “High Dimensional Inference and Variable Selection.” 2013. Web. 19 Sep 2019.

Vancouver:

Dasgupta S. High Dimensional Inference and Variable Selection. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Sep 19]. Available from: http://ufdc.ufl.edu/UFE0045721.

Council of Science Editors:

Dasgupta S. High Dimensional Inference and Variable Selection. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045721

University of Cincinnati

7.
Glore, Mary Lee.
The Threshold *Prior* in *Bayesian* Hypothesis Testing.

Degree: PhD, Arts and Sciences: Mathematics (Statistics), 2014, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

► *Bayesian* hypothesis testing provides an attractive alternative that overcomes the difficulties with interpreting the p-value or calibrating it. *Bayesian* hypothesis testing also provides measures of…
(more)

Subjects/Keywords: Statistics; Bayes; regression; Mathematica; nonlocal; g-prior; time series

Record Details Similar Records

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

APA (6^{th} Edition):

Glore, M. L. (2014). The Threshold Prior in Bayesian Hypothesis Testing. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

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

Glore, Mary Lee. “The Threshold Prior in Bayesian Hypothesis Testing.” 2014. Doctoral Dissertation, University of Cincinnati. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546.

MLA Handbook (7^{th} Edition):

Glore, Mary Lee. “The Threshold Prior in Bayesian Hypothesis Testing.” 2014. Web. 19 Sep 2019.

Vancouver:

Glore ML. The Threshold Prior in Bayesian Hypothesis Testing. [Internet] [Doctoral dissertation]. University of Cincinnati; 2014. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546.

Council of Science Editors:

Glore ML. The Threshold Prior in Bayesian Hypothesis Testing. [Doctoral Dissertation]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

Texas A&M University

8.
Song, Qifan.
Variable Selection for Ultra *High* *Dimensional* Data.

Degree: 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/153224

► Variable selection plays an important role for the *high* *dimensional* data analysis. In this work, we first propose a *Bayesian* variable selection approach for ultra-*high*…
(more)

Subjects/Keywords: High Dimensional Variable Selection; Big Data; Penalized Likelihood Approach; Posterior Consistency

Record Details Similar Records

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

APA (6^{th} Edition):

Song, Q. (2014). Variable Selection for Ultra High Dimensional Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153224

Not specified: Masters Thesis or Doctoral Dissertation

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

Song, Qifan. “Variable Selection for Ultra High Dimensional Data.” 2014. Thesis, Texas A&M University. Accessed September 19, 2019. http://hdl.handle.net/1969.1/153224.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Song, Qifan. “Variable Selection for Ultra High Dimensional Data.” 2014. Web. 19 Sep 2019.

Vancouver:

Song Q. Variable Selection for Ultra High Dimensional Data. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1969.1/153224.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Song Q. Variable Selection for Ultra High Dimensional Data. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153224

Not specified: Masters Thesis or Doctoral Dissertation

9.
Grollemund, Paul-Marie.
Régression linéaire bayésienne sur données fonctionnelles : Functional *Bayesian* linear * regression*.

Degree: Docteur es, Biostatistique, 2017, Montpellier

URL: http://www.theses.fr/2017MONTS045

►

Un outil fondamental en statistique est le modèle de régression linéaire. Lorsqu'une des covariables est une fonction, on fait face à un problème de statistique… (more)

Subjects/Keywords: Régression linéaire fonctionnelle; Bayésien; Parcimonie; Consistance; Elicitation; Functional linear regression; Bayesian; Sparsity; Posterior consistency; Elicitation

Record Details Similar Records

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

APA (6^{th} Edition):

Grollemund, P. (2017). Régression linéaire bayésienne sur données fonctionnelles : Functional Bayesian linear regression. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2017MONTS045

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

Grollemund, Paul-Marie. “Régression linéaire bayésienne sur données fonctionnelles : Functional Bayesian linear regression.” 2017. Doctoral Dissertation, Montpellier. Accessed September 19, 2019. http://www.theses.fr/2017MONTS045.

MLA Handbook (7^{th} Edition):

Grollemund, Paul-Marie. “Régression linéaire bayésienne sur données fonctionnelles : Functional Bayesian linear regression.” 2017. Web. 19 Sep 2019.

Vancouver:

Grollemund P. Régression linéaire bayésienne sur données fonctionnelles : Functional Bayesian linear regression. [Internet] [Doctoral dissertation]. Montpellier; 2017. [cited 2019 Sep 19]. Available from: http://www.theses.fr/2017MONTS045.

Council of Science Editors:

Grollemund P. Régression linéaire bayésienne sur données fonctionnelles : Functional Bayesian linear regression. [Doctoral Dissertation]. Montpellier; 2017. Available from: http://www.theses.fr/2017MONTS045

University of Central Florida

10. Dennis, Dana-Marie. Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application.

Degree: 2015, University of Central Florida

URL: https://stars.library.ucf.edu/etd/1212

► Smokeless powders are a set of energetic materials, known as low explosives, which are typically utilized for reloading ammunition. There are three types which differ…
(more)

Subjects/Keywords: Smokeless powders; agglomerative hierarchical cluster analysis; total ion spectrum; the intense ion rule; k nearest neighbors; linear discriminant analysis; quadratic discriminant analysis; bayes* theorem; bayesian networks; prior probability; posterior probability; Chemistry; Dissertations, Academic – Sciences; Sciences – Dissertations, Academic

Record Details Similar Records

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

APA (6^{th} Edition):

Dennis, D. (2015). Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/1212

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

Dennis, Dana-Marie. “Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application.” 2015. Doctoral Dissertation, University of Central Florida. Accessed September 19, 2019. https://stars.library.ucf.edu/etd/1212.

MLA Handbook (7^{th} Edition):

Dennis, Dana-Marie. “Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application.” 2015. Web. 19 Sep 2019.

Vancouver:

Dennis D. Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application. [Internet] [Doctoral dissertation]. University of Central Florida; 2015. [cited 2019 Sep 19]. Available from: https://stars.library.ucf.edu/etd/1212.

Council of Science Editors:

Dennis D. Chemical Analysis, Databasing, and Statistical Analysis of Smokeless Powders for Forensic Application. [Doctoral Dissertation]. University of Central Florida; 2015. Available from: https://stars.library.ucf.edu/etd/1212

11. Baragatti, Meïli. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.

Degree: Docteur es, Mathématiques, 2011, Aix-Marseille 2

URL: http://www.theses.fr/2011AIX22100

► Cette thèse se décompose en deux parties. Dans un premier temps nous nous intéressons à la sélection bayésienne de variables dans un modèle probit mixte.L'objectif…
(more)

Subjects/Keywords: Sélection bayésienne de variables; Modèle probit mixte; A priori de Zellner; Paramètre ridge; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Méthodes sans vraisemblance; Bayesian variable selection; Probit mixed model; Zellner g-prior; Ridge parameter; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Likelihood-Free methods

Record Details Similar Records

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

APA (6^{th} Edition):

Baragatti, M. (2011). Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. (Doctoral Dissertation). Aix-Marseille 2. Retrieved from http://www.theses.fr/2011AIX22100

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

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Doctoral Dissertation, Aix-Marseille 2. Accessed September 19, 2019. http://www.theses.fr/2011AIX22100.

MLA Handbook (7^{th} Edition):

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Web. 19 Sep 2019.

Vancouver:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Internet] [Doctoral dissertation]. Aix-Marseille 2; 2011. [cited 2019 Sep 19]. Available from: http://www.theses.fr/2011AIX22100.

Council of Science Editors:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Doctoral Dissertation]. Aix-Marseille 2; 2011. Available from: http://www.theses.fr/2011AIX22100

12.
Wang, Min.
* Bayesian* Hypothesis Testing and Variable Selection in

Degree: PhD, Mathematical Science, 2013, Clemson University

URL: https://tigerprints.clemson.edu/all_dissertations/1112

► This dissertation consists of three distinct but related research projects. First of all, we study the *Bayesian* approach to model selection in the class of…
(more)

Subjects/Keywords: Bayes Factor; Hypothesis Testing; Model Selection; Model Selection Consistency; Posterior Distribution; Zellner's g-prior; Statistics and Probability

…*Bayes* factor for variable selection and hypothesis testing in *high*
*dimensional* *regression*… …hyper-*g*/n *prior*) and also investigated
the model selection *consistency* of the *Bayes*… …*consistency* of the *Bayes* factor derived based on combined use of Zellner’s *g*-*prior* for the… …6.5
The *consistency* regions of the proposed *Bayes* factor for the beta-prime *prior* for… …considered three families of gpriors (i.e., the *Zellner*-Siow *prior*, the hyper-*g* *prior*, and the…

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, M. (2013). Bayesian Hypothesis Testing and Variable Selection in High Dimensional Regression. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1112

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

Wang, Min. “Bayesian Hypothesis Testing and Variable Selection in High Dimensional Regression.” 2013. Doctoral Dissertation, Clemson University. Accessed September 19, 2019. https://tigerprints.clemson.edu/all_dissertations/1112.

MLA Handbook (7^{th} Edition):

Wang, Min. “Bayesian Hypothesis Testing and Variable Selection in High Dimensional Regression.” 2013. Web. 19 Sep 2019.

Vancouver:

Wang M. Bayesian Hypothesis Testing and Variable Selection in High Dimensional Regression. [Internet] [Doctoral dissertation]. Clemson University; 2013. [cited 2019 Sep 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/1112.

Council of Science Editors:

Wang M. Bayesian Hypothesis Testing and Variable Selection in High Dimensional Regression. [Doctoral Dissertation]. Clemson University; 2013. Available from: https://tigerprints.clemson.edu/all_dissertations/1112

University of Rochester

13. Kim, Taeryang (1967 - ); Braun, David. In defense of a posteriori minimal physicalism.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/14826

► The aim of this dissertation is to defend a version of <i>a posteriori</i> minimal physicalism which claims that everything including phenomenal consciousness supervenes globally logically…
(more)

Subjects/Keywords: Supervenience; Conceivability; Two dimensional; Necessary a posterior; A priori deducibility; Humean

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APA (6^{th} Edition):

Kim, Taeryang (1967 - ); Braun, D. (2011). In defense of a posteriori minimal physicalism. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/14826

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

Kim, Taeryang (1967 - ); Braun, David. “In defense of a posteriori minimal physicalism.” 2011. Doctoral Dissertation, University of Rochester. Accessed September 19, 2019. http://hdl.handle.net/1802/14826.

MLA Handbook (7^{th} Edition):

Kim, Taeryang (1967 - ); Braun, David. “In defense of a posteriori minimal physicalism.” 2011. Web. 19 Sep 2019.

Vancouver:

Kim, Taeryang (1967 - ); Braun D. In defense of a posteriori minimal physicalism. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1802/14826.

Council of Science Editors:

Kim, Taeryang (1967 - ); Braun D. In defense of a posteriori minimal physicalism. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/14826

University of Louisville

14.
Evans, Sara.
*Bayesian**regression* analysis.

Degree: MA, 2012, University of Louisville

URL: 10.18297/etd/412 ; https://ir.library.louisville.edu/etd/412

► *Regression* analysis is a statistical method used to relate a variable of interest, typically y (the dependent variable), to a set of independent variables,…
(more)

Subjects/Keywords: Frequentist regression; Bayes' theorem; Bayesian regression

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

APA (6^{th} Edition):

Evans, S. (2012). Bayesian regression analysis. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/412 ; https://ir.library.louisville.edu/etd/412

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

Evans, Sara. “Bayesian regression analysis.” 2012. Masters Thesis, University of Louisville. Accessed September 19, 2019. 10.18297/etd/412 ; https://ir.library.louisville.edu/etd/412.

MLA Handbook (7^{th} Edition):

Evans, Sara. “Bayesian regression analysis.” 2012. Web. 19 Sep 2019.

Vancouver:

Evans S. Bayesian regression analysis. [Internet] [Masters thesis]. University of Louisville; 2012. [cited 2019 Sep 19]. Available from: 10.18297/etd/412 ; https://ir.library.louisville.edu/etd/412.

Council of Science Editors:

Evans S. Bayesian regression analysis. [Masters Thesis]. University of Louisville; 2012. Available from: 10.18297/etd/412 ; https://ir.library.louisville.edu/etd/412

University of Technology, Sydney

15.
Menictas, M.
Variational inference for heteroscedastic and longitudinal *regression* models.

Degree: 2015, University of Technology, Sydney

URL: http://hdl.handle.net/10453/38942

► The focus of this thesis is on the development and assessment of mean field variational *Bayes* (MFVB), which is a fast, deterministic tool for inference…
(more)

Subjects/Keywords: Mean field variational Bayes (MFVB).; Bayesian hierarchical model setting.; Markov chain Monte Carlo (MCMC) benchmark.; Heteroscedastic and longitudinal semiparametric regression models.

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

APA (6^{th} Edition):

Menictas, M. (2015). Variational inference for heteroscedastic and longitudinal regression models. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38942

Not specified: Masters Thesis or Doctoral Dissertation

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

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Thesis, University of Technology, Sydney. Accessed September 19, 2019. http://hdl.handle.net/10453/38942.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Menictas, M. “Variational inference for heteroscedastic and longitudinal regression models.” 2015. Web. 19 Sep 2019.

Vancouver:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10453/38942.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Menictas M. Variational inference for heteroscedastic and longitudinal regression models. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38942

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

16.
Wang, Xiaomu.
Robust *Bayes* in *Hierarchical* Modeling and *Empirical*
BayesAnalysis in Multivariate Estimation.

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449069220

► With the modern development of statistical data analysis, the data volume increasesand the data dimension increases correspondingly. This thesis investigatestwo classic *Bayes* problems: robust *Bayes*…
(more)

Subjects/Keywords: Statistics; robust Bayes, multivariate estimation, empirical Bayes, James-Stein, hierarchical model

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

APA (6^{th} Edition):

Wang, X. (2015). Robust Bayes in Hierarchical Modeling and Empirical BayesAnalysis in Multivariate Estimation. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1449069220

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

Wang, Xiaomu. “Robust Bayes in Hierarchical Modeling and Empirical BayesAnalysis in Multivariate Estimation.” 2015. Doctoral Dissertation, The Ohio State University. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1449069220.

MLA Handbook (7^{th} Edition):

Wang, Xiaomu. “Robust Bayes in Hierarchical Modeling and Empirical BayesAnalysis in Multivariate Estimation.” 2015. Web. 19 Sep 2019.

Vancouver:

Wang X. Robust Bayes in Hierarchical Modeling and Empirical BayesAnalysis in Multivariate Estimation. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449069220.

Council of Science Editors:

Wang X. Robust Bayes in Hierarchical Modeling and Empirical BayesAnalysis in Multivariate Estimation. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1449069220

17.
Lee, Wayne Tai.
* Bayesian* Analysis in Problems with

Degree: Statistics, 2013, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/1mp792b6

► This dissertation is a compilation of three different applied statistical problems from the *Bayesian* perspective. Although the statistical question in each problem is different, a…
(more)

Subjects/Keywords: Statistics; Bayesian Statistics; Global Extreme; Hierarchical Multilabel Classification; High Dimensional; Spatial Statistics; Surface Wind

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

APA (6^{th} Edition):

Lee, W. T. (2013). Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/1mp792b6

Not specified: Masters Thesis or Doctoral Dissertation

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

Lee, Wayne Tai. “Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure.” 2013. Thesis, University of California – Berkeley. Accessed September 19, 2019. http://www.escholarship.org/uc/item/1mp792b6.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Wayne Tai. “Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure.” 2013. Web. 19 Sep 2019.

Vancouver:

Lee WT. Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/1mp792b6.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee WT. Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/1mp792b6

Not specified: Masters Thesis or Doctoral Dissertation

University of Newcastle

18.
Tuyl, Frank Adrianus Wilhelmus Maria.
Estimation of the Binomial parameter: in defence of *Bayes* (1763).

Degree: PhD, 2007, University of Newcastle

URL: http://hdl.handle.net/1959.13/25730

►

Research Doctorate - Doctor of Philosophy (PhD)

Interval estimation of the Binomial parameter è, representing the true probability of a success, is a problem of… (more)

Subjects/Keywords: Bayesian inference; binomial distribution; relative risk; Rule of Three; zero events; prior families; posterior predictive; Bayes-Laplace prior; invariance; Jeffreys prior; noninformative prior; reference prior; uniform prior; highest posterior density; odds ratio

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

APA (6^{th} Edition):

Tuyl, F. A. W. M. (2007). Estimation of the Binomial parameter: in defence of Bayes (1763). (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/25730

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

Tuyl, Frank Adrianus Wilhelmus Maria. “Estimation of the Binomial parameter: in defence of Bayes (1763).” 2007. Doctoral Dissertation, University of Newcastle. Accessed September 19, 2019. http://hdl.handle.net/1959.13/25730.

MLA Handbook (7^{th} Edition):

Tuyl, Frank Adrianus Wilhelmus Maria. “Estimation of the Binomial parameter: in defence of Bayes (1763).” 2007. Web. 19 Sep 2019.

Vancouver:

Tuyl FAWM. Estimation of the Binomial parameter: in defence of Bayes (1763). [Internet] [Doctoral dissertation]. University of Newcastle; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1959.13/25730.

Council of Science Editors:

Tuyl FAWM. Estimation of the Binomial parameter: in defence of Bayes (1763). [Doctoral Dissertation]. University of Newcastle; 2007. Available from: http://hdl.handle.net/1959.13/25730

19.
Li, Qiong.
* Bayesian* Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries.

Degree: PhD, Mathematics & Statistics, 2017, York University

URL: http://hdl.handle.net/10315/33452

► We consider the *Bayesian* analysis of undirected graphical Gaussian models with edges and vertices symmetries. The graphical Gaussian models with equality constraints on the precision…
(more)

Subjects/Keywords: Statistics; Asymptotic normality; Bayesian estimator; Colored G-Wishart distribution; Conditional independence; Conjugate prior; Consistency; Marginal model; Metropolis-Hastings; Large deviation; Symmetry constraint.

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

APA (6^{th} Edition):

Li, Q. (2017). Bayesian Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/33452

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

Li, Qiong. “Bayesian Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries.” 2017. Doctoral Dissertation, York University. Accessed September 19, 2019. http://hdl.handle.net/10315/33452.

MLA Handbook (7^{th} Edition):

Li, Qiong. “Bayesian Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries.” 2017. Web. 19 Sep 2019.

Vancouver:

Li Q. Bayesian Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries. [Internet] [Doctoral dissertation]. York University; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10315/33452.

Council of Science Editors:

Li Q. Bayesian Estimation of Graphical Gaussian Models with Edges and Vertices Symmetries. [Doctoral Dissertation]. York University; 2017. Available from: http://hdl.handle.net/10315/33452

University of Louisville

20.
Yang, Dake.
* Consistency* of differentially expressed gene rankings based on subsets of microarray data.

Degree: MS, 2011, University of Louisville

URL: 10.18297/etd/1615 ; https://ir.library.louisville.edu/etd/1615

► Data derived from gene expression microarrays are frequently used to identify candidate genes which can characterize and distinguish between two biological phenotypes. A key…
(more)

Subjects/Keywords: Microarray; Empirical Bayes; Differentially expressed; Consistency; T-test; SAM

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

APA (6^{th} Edition):

Yang, D. (2011). Consistency of differentially expressed gene rankings based on subsets of microarray data. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/1615 ; https://ir.library.louisville.edu/etd/1615

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

Yang, Dake. “Consistency of differentially expressed gene rankings based on subsets of microarray data.” 2011. Masters Thesis, University of Louisville. Accessed September 19, 2019. 10.18297/etd/1615 ; https://ir.library.louisville.edu/etd/1615.

MLA Handbook (7^{th} Edition):

Yang, Dake. “Consistency of differentially expressed gene rankings based on subsets of microarray data.” 2011. Web. 19 Sep 2019.

Vancouver:

Yang D. Consistency of differentially expressed gene rankings based on subsets of microarray data. [Internet] [Masters thesis]. University of Louisville; 2011. [cited 2019 Sep 19]. Available from: 10.18297/etd/1615 ; https://ir.library.louisville.edu/etd/1615.

Council of Science Editors:

Yang D. Consistency of differentially expressed gene rankings based on subsets of microarray data. [Masters Thesis]. University of Louisville; 2011. Available from: 10.18297/etd/1615 ; https://ir.library.louisville.edu/etd/1615

21.
Chang, Chao.
Nonparametric *Bayesian* Quantile *Regression* via Dirichlet Process Mixture Models.

Degree: PhD, Mathematics, 2015, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/art_sci_etds/458

► We propose new nonparametric *Bayesian* approaches to quantile *regression* using Dirichlet process mixture (DPM) models. All the existing quantile *regression* methods based on DPMs…
(more)

Subjects/Keywords: Dirichlet Process Mixture, Nonparametric Bayesian, Posterior Consistency, Quantile Regression; Mathematics

…117] proposed to solve the quantile *regression* problem using *Bayesian* *empirical*… …proposed an approach to quantile *regression* based on the *Bayesian*
exponentially tilted *empirical*… …establish the theoretical guarantee of the *posterior* *consistency* on the
*regression* coefficients… …Currently, there is no theory for the *posterior* *consistency* in nonparametric *Bayesian*
quantile… …*empirical* *Bayes*
method. Note that for the *prior* of σi ’s, they all have mean equal to d. We want…

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

APA (6^{th} Edition):

Chang, C. (2015). Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/art_sci_etds/458

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

Chang, Chao. “Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models.” 2015. Doctoral Dissertation, Washington University in St. Louis. Accessed September 19, 2019. https://openscholarship.wustl.edu/art_sci_etds/458.

MLA Handbook (7^{th} Edition):

Chang, Chao. “Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models.” 2015. Web. 19 Sep 2019.

Vancouver:

Chang C. Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2015. [cited 2019 Sep 19]. Available from: https://openscholarship.wustl.edu/art_sci_etds/458.

Council of Science Editors:

Chang C. Nonparametric Bayesian Quantile Regression via Dirichlet Process Mixture Models. [Doctoral Dissertation]. Washington University in St. Louis; 2015. Available from: https://openscholarship.wustl.edu/art_sci_etds/458

Bowling Green State University

22.
Dong, Fanglong.
* Bayesian* Model Checking in Multivariate Discrete

Degree: PhD, Mathematics/Probability and Statistics, 2008, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1223329230

► Ordinal data are common in the academic area such as a student grade, A, B, C, D, orF, also ordinal data are common in other…
(more)

Subjects/Keywords: Statistics; Bayesian statistics; ordinal data; bayes factor; deviance; posterior distribution

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

APA (6^{th} Edition):

Dong, F. (2008). Bayesian Model Checking in Multivariate Discrete Regression Problems. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1223329230

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

Dong, Fanglong. “Bayesian Model Checking in Multivariate Discrete Regression Problems.” 2008. Doctoral Dissertation, Bowling Green State University. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1223329230.

MLA Handbook (7^{th} Edition):

Dong, Fanglong. “Bayesian Model Checking in Multivariate Discrete Regression Problems.” 2008. Web. 19 Sep 2019.

Vancouver:

Dong F. Bayesian Model Checking in Multivariate Discrete Regression Problems. [Internet] [Doctoral dissertation]. Bowling Green State University; 2008. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1223329230.

Council of Science Editors:

Dong F. Bayesian Model Checking in Multivariate Discrete Regression Problems. [Doctoral Dissertation]. Bowling Green State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1223329230

University of Texas – Austin

23.
Wang, Mengjie.
Assigning *g* in *Zellner*'s *g* *prior* for *Bayesian* variable selection.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/32496

► There are numerous frequentist statistics variable selection methods such as Stepwise *regression*, AIC and BIC etc. In particular, the latter two criteria include a penalty…
(more)

Subjects/Keywords: Model selection; Bayes factor; BIC; Zellner's g prior; Type I error

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

APA (6^{th} Edition):

Wang, M. (2015). Assigning g in Zellner's g prior for Bayesian variable selection. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32496

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

Wang, Mengjie. “Assigning g in Zellner's g prior for Bayesian variable selection.” 2015. Masters Thesis, University of Texas – Austin. Accessed September 19, 2019. http://hdl.handle.net/2152/32496.

MLA Handbook (7^{th} Edition):

Wang, Mengjie. “Assigning g in Zellner's g prior for Bayesian variable selection.” 2015. Web. 19 Sep 2019.

Vancouver:

Wang M. Assigning g in Zellner's g prior for Bayesian variable selection. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2152/32496.

Council of Science Editors:

Wang M. Assigning g in Zellner's g prior for Bayesian variable selection. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32496

Kansas State University

24.
Anderson, Michael P.
* Bayesian*
classification of DNA barcodes.

Degree: PhD, Department of Statistics, 2009, Kansas State University

URL: http://hdl.handle.net/2097/2247

► DNA barcodes are short strands of nucleotide bases taken from the cytochrome c oxidase subunit 1 (COI) of the mitochondrial DNA (mtDNA). A single barcode…
(more)

Subjects/Keywords: DNA Barcodes; Bayesian Classification; Species Discovery; Naive Bayes Classifier; Sequential Analysis; High-dimensional Data; Statistics (0463)

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

APA (6^{th} Edition):

Anderson, M. P. (2009). Bayesian classification of DNA barcodes. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/2247

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

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Doctoral Dissertation, Kansas State University. Accessed September 19, 2019. http://hdl.handle.net/2097/2247.

MLA Handbook (7^{th} Edition):

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Web. 19 Sep 2019.

Vancouver:

Anderson MP. Bayesian classification of DNA barcodes. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2097/2247.

Council of Science Editors:

Anderson MP. Bayesian classification of DNA barcodes. [Doctoral Dissertation]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/2247

The Ohio State University

25.
zheng, jiayin.
Calibrated *Bayes* Factor and *Bayesian* Model Averaging.

Degree: PhD, Statistics, 2018, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265

► There is a rich history of work on model selection and averaging in the statisticsliterature. The *Bayesian* paradigm provides an approach to model selection whichsuccessfully…
(more)

Subjects/Keywords: Statistics; model selection, Bayes factor, unit information prior, Bayesian model averaging

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

APA (6^{th} Edition):

zheng, j. (2018). Calibrated Bayes Factor and Bayesian Model Averaging. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265

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

zheng, jiayin. “Calibrated Bayes Factor and Bayesian Model Averaging.” 2018. Doctoral Dissertation, The Ohio State University. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265.

MLA Handbook (7^{th} Edition):

zheng, jiayin. “Calibrated Bayes Factor and Bayesian Model Averaging.” 2018. Web. 19 Sep 2019.

Vancouver:

zheng j. Calibrated Bayes Factor and Bayesian Model Averaging. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265.

Council of Science Editors:

zheng j. Calibrated Bayes Factor and Bayesian Model Averaging. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1518632917560265

University of New South Wales

26.
Rodrigues, Guilherme.
New methods for infinite and *high*-*dimensional* approximate *Bayesian* computation.

Degree: Mathematics & Statistics, 2017, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/58630 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46480/SOURCE02?view=true

► The remarkable complexity of modern applied problems often requires the use of probabilistic models where the likelihood is intractable – in the sense that it…
(more)

Subjects/Keywords: Gibbs sampler; approximate Bayesian computation (ABC); Gaussian process prior; hierarchical models; indirect inferenceintractable state space models; likelihood-free inference; nonparametric density estimation; regression-adjustment

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

APA (6^{th} Edition):

Rodrigues, G. (2017). New methods for infinite and high-dimensional approximate Bayesian computation. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58630 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46480/SOURCE02?view=true

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

Rodrigues, Guilherme. “New methods for infinite and high-dimensional approximate Bayesian computation.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 19, 2019. http://handle.unsw.edu.au/1959.4/58630 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46480/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Rodrigues, Guilherme. “New methods for infinite and high-dimensional approximate Bayesian computation.” 2017. Web. 19 Sep 2019.

Vancouver:

Rodrigues G. New methods for infinite and high-dimensional approximate Bayesian computation. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Sep 19]. Available from: http://handle.unsw.edu.au/1959.4/58630 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46480/SOURCE02?view=true.

Council of Science Editors:

Rodrigues G. New methods for infinite and high-dimensional approximate Bayesian computation. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/58630 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:46480/SOURCE02?view=true

Duke University

27.
Qamar, Shaan.
Topics in Modern *Bayesian* Computation
.

Degree: 2015, Duke University

URL: http://hdl.handle.net/10161/10481

► Collections of large volumes of rich and complex data has become ubiquitous in recent years, posing new challenges in methodological and theoretical statistics alike.…
(more)

Subjects/Keywords: Statistics; Approximate Bayesian computation; High dimensional regression; Nonparametric regression; Scalable Markov chain Monte Carlo; Structured additive models; Variable selection

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

APA (6^{th} Edition):

Qamar, S. (2015). Topics in Modern Bayesian Computation . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/10481

Not specified: Masters Thesis or Doctoral Dissertation

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

Qamar, Shaan. “Topics in Modern Bayesian Computation .” 2015. Thesis, Duke University. Accessed September 19, 2019. http://hdl.handle.net/10161/10481.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Qamar, Shaan. “Topics in Modern Bayesian Computation .” 2015. Web. 19 Sep 2019.

Vancouver:

Qamar S. Topics in Modern Bayesian Computation . [Internet] [Thesis]. Duke University; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10161/10481.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qamar S. Topics in Modern Bayesian Computation . [Thesis]. Duke University; 2015. Available from: http://hdl.handle.net/10161/10481

Not specified: Masters Thesis or Doctoral Dissertation

University of Pennsylvania

28.
Fuki, Igar.
* Bayesian* Aspects of Classification Procedures.

Degree: 2013, University of Pennsylvania

URL: https://repository.upenn.edu/edissertations/863

► We consider several statistical approaches to binary classification and multiple hypothesis testing problems. Situations in which a binary choice must be made are common in…
(more)

Subjects/Keywords: Classification procedures; empirical Bayes; False discovery rate; nonparametric mixture prior; Statistics and Probability

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

APA (6^{th} Edition):

Fuki, I. (2013). Bayesian Aspects of Classification Procedures. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/863

Not specified: Masters Thesis or Doctoral Dissertation

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

Fuki, Igar. “Bayesian Aspects of Classification Procedures.” 2013. Thesis, University of Pennsylvania. Accessed September 19, 2019. https://repository.upenn.edu/edissertations/863.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Fuki, Igar. “Bayesian Aspects of Classification Procedures.” 2013. Web. 19 Sep 2019.

Vancouver:

Fuki I. Bayesian Aspects of Classification Procedures. [Internet] [Thesis]. University of Pennsylvania; 2013. [cited 2019 Sep 19]. Available from: https://repository.upenn.edu/edissertations/863.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fuki I. Bayesian Aspects of Classification Procedures. [Thesis]. University of Pennsylvania; 2013. Available from: https://repository.upenn.edu/edissertations/863

Not specified: Masters Thesis or Doctoral Dissertation

Brigham Young University

29. Shepherd, Brent A. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.

Degree: MS, 2012, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd

► Maximal oxygen consumption (VO2max) is considered by many to be the best overall measure of an individual's cardiovascular health. Collecting the measurement, however, requires subjecting…
(more)

Subjects/Keywords: VO2max; MCMC; Bayesian Hierarchical Models; Bayes Methods; Statistics and Probability

Record Details Similar Records

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

APA (6^{th} Edition):

Shepherd, B. A. (2012). Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd

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

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Masters Thesis, Brigham Young University. Accessed September 19, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

MLA Handbook (7^{th} Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Web. 19 Sep 2019.

Vancouver:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2019 Sep 19]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

Council of Science Editors:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd

Washington University in St. Louis

30.
Womack, Andrew.
Predictive Alternatives in *Bayesian* Model Selection.

Degree: PhD, Mathematics, 2011, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/etd/381

► Model comparison and hypothesis testing is an integral part of all data analyses. In this thesis, I present two new families of information criteria that…
(more)

Subjects/Keywords: Statistics; Bayes' Factor, Bayesian model selection, Information Criteria, Posterior Predictive, Renyi Entropy

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Womack, A. (2011). Predictive Alternatives in Bayesian Model Selection. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/381

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

Womack, Andrew. “Predictive Alternatives in Bayesian Model Selection.” 2011. Doctoral Dissertation, Washington University in St. Louis. Accessed September 19, 2019. https://openscholarship.wustl.edu/etd/381.

MLA Handbook (7^{th} Edition):

Womack, Andrew. “Predictive Alternatives in Bayesian Model Selection.” 2011. Web. 19 Sep 2019.

Vancouver:

Womack A. Predictive Alternatives in Bayesian Model Selection. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2011. [cited 2019 Sep 19]. Available from: https://openscholarship.wustl.edu/etd/381.

Council of Science Editors:

Womack A. Predictive Alternatives in Bayesian Model Selection. [Doctoral Dissertation]. Washington University in St. Louis; 2011. Available from: https://openscholarship.wustl.edu/etd/381