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You searched for `subject:(Bayesian model selection)`

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University of Kansas

1. Yang, Lei. Parametric and Non-Parametric Models in Health Research: Analysis and Design.

Degree: PhD, Biostatistics, 2016, University of Kansas

URL: http://hdl.handle.net/1808/24821

► Personalized medicine is emerging in both clinical practice and clinical trials. “Precision” medicine not only promises improved safety and efficacy but also lowered cost in…
(more)

Subjects/Keywords: Biostatistics; Bayesian; CART; Model selection

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

APA (6^{th} Edition):

Yang, L. (2016). Parametric and Non-Parametric Models in Health Research: Analysis and Design. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/24821

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

Yang, Lei. “Parametric and Non-Parametric Models in Health Research: Analysis and Design.” 2016. Doctoral Dissertation, University of Kansas. Accessed February 25, 2020. http://hdl.handle.net/1808/24821.

MLA Handbook (7^{th} Edition):

Yang, Lei. “Parametric and Non-Parametric Models in Health Research: Analysis and Design.” 2016. Web. 25 Feb 2020.

Vancouver:

Yang L. Parametric and Non-Parametric Models in Health Research: Analysis and Design. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1808/24821.

Council of Science Editors:

Yang L. Parametric and Non-Parametric Models in Health Research: Analysis and Design. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/24821

University of Rochester

2.
LaCombe, Jason R.
Non-Informative Priors for Structural Inference in
*Bayesian* Networks.

Degree: PhD, 2011, University of Rochester

URL: http://hdl.handle.net/1802/15981

► A fundamental problem in multivariate statistics is the determination of dependency relationships among random variables. *Bayesian* networks equate the dependency properties of the considered variables…
(more)

Subjects/Keywords: Bayesian-Networks; Model-Selection; Prior Graphical Model

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

APA (6^{th} Edition):

LaCombe, J. R. (2011). Non-Informative Priors for Structural Inference in Bayesian Networks. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/15981

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

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Doctoral Dissertation, University of Rochester. Accessed February 25, 2020. http://hdl.handle.net/1802/15981.

MLA Handbook (7^{th} Edition):

LaCombe, Jason R. “Non-Informative Priors for Structural Inference in Bayesian Networks.” 2011. Web. 25 Feb 2020.

Vancouver:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1802/15981.

Council of Science Editors:

LaCombe JR. Non-Informative Priors for Structural Inference in Bayesian Networks. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/15981

University of Saskatchewan

3.
Dong, Yue.
A Simulation Study to Evaluate *Bayesian* LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.

Degree: 2016, University of Saskatchewan

URL: http://hdl.handle.net/10388/7313

► When modelling count data, it is possible to have excessive zeros in the data in many applications. My thesis concentrates on the variable *selection* in…
(more)

Subjects/Keywords: Variable selection; Zero-inflated model; Bayesian LASSO

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APA (6^{th} Edition):

Dong, Y. (2016). A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7313

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):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Thesis, University of Saskatchewan. Accessed February 25, 2020. http://hdl.handle.net/10388/7313.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dong, Yue. “A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models.” 2016. Web. 25 Feb 2020.

Vancouver:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10388/7313.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong Y. A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7313

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

4.
Ahfock, Daniel Christian.
New statistical perspectives on efficient Big Data algorithms for high-dimensional *Bayesian* regression and *model* * selection*.

Degree: PhD, 2019, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/291805

► This thesis is focused on the development of computationally efficient procedures for regression modelling with datasets containing a large number of observations. Standard algorithms be…
(more)

Subjects/Keywords: Bayesian model selection; Random projection; Big Data

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

APA (6^{th} Edition):

Ahfock, D. C. (2019). New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/291805

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

Ahfock, Daniel Christian. “New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection.” 2019. Doctoral Dissertation, University of Cambridge. Accessed February 25, 2020. https://www.repository.cam.ac.uk/handle/1810/291805.

MLA Handbook (7^{th} Edition):

Ahfock, Daniel Christian. “New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection.” 2019. Web. 25 Feb 2020.

Vancouver:

Ahfock DC. New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Feb 25]. Available from: https://www.repository.cam.ac.uk/handle/1810/291805.

Council of Science Editors:

Ahfock DC. New statistical perspectives on efficient Big Data algorithms for high-dimensional Bayesian regression and model selection. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/291805

Virginia Tech

5.
Metzger, Thomas Anthony.
Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via *Bayesian* *Model* * Selection*.

Degree: PhD, Statistics, 2019, Virginia Tech

URL: http://hdl.handle.net/10919/93226

► Statistical models are a powerful tool for describing a broad range of phenomena in our world. However, many common statistical models may make assumptions that…
(more)

Subjects/Keywords: model selection; heteroscedasticity; linear models; Bayesian

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

APA (6^{th} Edition):

Metzger, T. A. (2019). Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93226

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

Metzger, Thomas Anthony. “Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection.” 2019. Doctoral Dissertation, Virginia Tech. Accessed February 25, 2020. http://hdl.handle.net/10919/93226.

MLA Handbook (7^{th} Edition):

Metzger, Thomas Anthony. “Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection.” 2019. Web. 25 Feb 2020.

Vancouver:

Metzger TA. Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10919/93226.

Council of Science Editors:

Metzger TA. Detection of Latent Heteroscedasticity and Group-Based Regression Effects in Linear Models via Bayesian Model Selection. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93226

Virginia Tech

6.
Maiti, Dipayan.
Multiset *Model* *Selection* and Averaging, and Interactive Storytelling.

Degree: PhD, Statistics, 2012, Virginia Tech

URL: http://hdl.handle.net/10919/28563

► The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and…
(more)

Subjects/Keywords: supervised topic modeling; visual analytics; bayesian model averaging; Bayesian mode selection

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APA (6^{th} Edition):

Maiti, D. (2012). Multiset Model Selection and Averaging, and Interactive Storytelling. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28563

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

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Doctoral Dissertation, Virginia Tech. Accessed February 25, 2020. http://hdl.handle.net/10919/28563.

MLA Handbook (7^{th} Edition):

Maiti, Dipayan. “Multiset Model Selection and Averaging, and Interactive Storytelling.” 2012. Web. 25 Feb 2020.

Vancouver:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10919/28563.

Council of Science Editors:

Maiti D. Multiset Model Selection and Averaging, and Interactive Storytelling. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28563

7.
Farrell, Kathryn Anne.
* Selection*, calibration, and validation of coarse-grained models of atomistic systems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/30528

► This dissertation examines the development of coarse-grained models of atomistic systems for the purpose of predicting target quantities of interest in the presence of uncertainties.…
(more)

Subjects/Keywords: Coarse graining; Bayesian inference; Sensitivity; Model plausibility; Model validation; Model selection

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

APA (6^{th} Edition):

Farrell, K. A. (2015). Selection, calibration, and validation of coarse-grained models of atomistic systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/30528

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

Farrell, Kathryn Anne. “Selection, calibration, and validation of coarse-grained models of atomistic systems.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 25, 2020. http://hdl.handle.net/2152/30528.

MLA Handbook (7^{th} Edition):

Farrell, Kathryn Anne. “Selection, calibration, and validation of coarse-grained models of atomistic systems.” 2015. Web. 25 Feb 2020.

Vancouver:

Farrell KA. Selection, calibration, and validation of coarse-grained models of atomistic systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2152/30528.

Council of Science Editors:

Farrell KA. Selection, calibration, and validation of coarse-grained models of atomistic systems. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/30528

The Ohio State University

8.
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 February 25, 2020. 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. 25 Feb 2020.

Vancouver:

zheng j. Calibrated Bayes Factor and Bayesian Model Averaging. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2020 Feb 25]. 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

Rice University

9.
Wadsworth, W Duncan.
* Bayesian* Methods for the Analysis of Microbiome Data.

Degree: PhD, Engineering, 2016, Rice University

URL: http://hdl.handle.net/1911/95977

► Bacteria, archaea, viruses, and fungi are present in large numbers both on and inside of our bodies. On average, only one in ten of “our”…
(more)

Subjects/Keywords: Bayesian hierarchical model; Data integration; Dirichlet-Multinomial; Microbiome data; Variable selection; Multiple testing; Bayesian nonparametrics

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

APA (6^{th} Edition):

Wadsworth, W. D. (2016). Bayesian Methods for the Analysis of Microbiome Data. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/95977

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

Wadsworth, W Duncan. “Bayesian Methods for the Analysis of Microbiome Data.” 2016. Doctoral Dissertation, Rice University. Accessed February 25, 2020. http://hdl.handle.net/1911/95977.

MLA Handbook (7^{th} Edition):

Wadsworth, W Duncan. “Bayesian Methods for the Analysis of Microbiome Data.” 2016. Web. 25 Feb 2020.

Vancouver:

Wadsworth WD. Bayesian Methods for the Analysis of Microbiome Data. [Internet] [Doctoral dissertation]. Rice University; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1911/95977.

Council of Science Editors:

Wadsworth WD. Bayesian Methods for the Analysis of Microbiome Data. [Doctoral Dissertation]. Rice University; 2016. Available from: http://hdl.handle.net/1911/95977

Université Catholique de Louvain

10.
Jaeger, Jonathan.
Functional estimation in systems defined by differential equations using *Bayesian* smoothing methods.

Degree: 2012, Université Catholique de Louvain

URL: http://hdl.handle.net/2078.1/115164

►

Ordinary differential equations (ODEs) are widely used to *model* physical, chemical and biological processes. Currently, the most commonly used estimation procedures rely on nonlinear least…
(more)

Subjects/Keywords: Bayesian ODE-penalized B-spline; ODE-model selection; Ordinary differential equations

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

APA (6^{th} Edition):

Jaeger, J. (2012). Functional estimation in systems defined by differential equations using Bayesian smoothing methods. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/115164

Not specified: Masters Thesis or Doctoral Dissertation

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

Jaeger, Jonathan. “Functional estimation in systems defined by differential equations using Bayesian smoothing methods.” 2012. Thesis, Université Catholique de Louvain. Accessed February 25, 2020. http://hdl.handle.net/2078.1/115164.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jaeger, Jonathan. “Functional estimation in systems defined by differential equations using Bayesian smoothing methods.” 2012. Web. 25 Feb 2020.

Vancouver:

Jaeger J. Functional estimation in systems defined by differential equations using Bayesian smoothing methods. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2078.1/115164.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jaeger J. Functional estimation in systems defined by differential equations using Bayesian smoothing methods. [Thesis]. Université Catholique de Louvain; 2012. Available from: http://hdl.handle.net/2078.1/115164

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

11.
Markley, Scott Conrad.
Joint Parsimonious Modeling and *Model* Order *Selection* for
Multivariate Gaussian Mixtures.

Degree: MS, Electrical Engineering, 2009, Penn State University

URL: https://etda.libraries.psu.edu/catalog/9613

► Multivariate Gaussian mixtures are widely used in science and engineering for density estimation, *model*-based data clustering, and statistical classification. A difficult problem, of special interest…
(more)

Subjects/Keywords: Expectation Maximization; Model Order Selection; Bayesian Information Criterion; Multivariate Gaussian

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

APA (6^{th} Edition):

Markley, S. C. (2009). Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9613

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

Markley, Scott Conrad. “Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures.” 2009. Masters Thesis, Penn State University. Accessed February 25, 2020. https://etda.libraries.psu.edu/catalog/9613.

MLA Handbook (7^{th} Edition):

Markley, Scott Conrad. “Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures.” 2009. Web. 25 Feb 2020.

Vancouver:

Markley SC. Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2020 Feb 25]. Available from: https://etda.libraries.psu.edu/catalog/9613.

Council of Science Editors:

Markley SC. Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9613

University of Sydney

12. Duchene Garzon, Sebastian. Understanding Evolutionary Rate Variation in Viruses .

Degree: 2014, University of Sydney

URL: http://hdl.handle.net/2123/13482

► Estimating the rate of molecular evolution over time is crucial for understanding the processes and forces that shape biological diversity. Viruses are particularly interesting because…
(more)

Subjects/Keywords: Molecular-clock; rate of evolution; phylogenetics; Bayesian analyses; model selection

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APA (6^{th} Edition):

Duchene Garzon, S. (2014). Understanding Evolutionary Rate Variation in Viruses . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/13482

Not specified: Masters Thesis or Doctoral Dissertation

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

Duchene Garzon, Sebastian. “Understanding Evolutionary Rate Variation in Viruses .” 2014. Thesis, University of Sydney. Accessed February 25, 2020. http://hdl.handle.net/2123/13482.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Duchene Garzon, Sebastian. “Understanding Evolutionary Rate Variation in Viruses .” 2014. Web. 25 Feb 2020.

Vancouver:

Duchene Garzon S. Understanding Evolutionary Rate Variation in Viruses . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2123/13482.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Duchene Garzon S. Understanding Evolutionary Rate Variation in Viruses . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/13482

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

13. Loftus, Stephen Christopher. On the Use of Grouped Covariate Regression in Oversaturated Models.

Degree: PhD, Statistics, 2015, Virginia Tech

URL: http://hdl.handle.net/10919/64363

► As data collection techniques improve, oftentimes the number of covariates exceeds the number of observations. When this happens, regression models become oversaturated and, thus, inestimable.…
(more)

Subjects/Keywords: Oversaturated model; Big data; Variable selection; Data Analytics; Bayesian methods

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

APA (6^{th} Edition):

Loftus, S. C. (2015). On the Use of Grouped Covariate Regression in Oversaturated Models. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64363

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

Loftus, Stephen Christopher. “On the Use of Grouped Covariate Regression in Oversaturated Models.” 2015. Doctoral Dissertation, Virginia Tech. Accessed February 25, 2020. http://hdl.handle.net/10919/64363.

MLA Handbook (7^{th} Edition):

Loftus, Stephen Christopher. “On the Use of Grouped Covariate Regression in Oversaturated Models.” 2015. Web. 25 Feb 2020.

Vancouver:

Loftus SC. On the Use of Grouped Covariate Regression in Oversaturated Models. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10919/64363.

Council of Science Editors:

Loftus SC. On the Use of Grouped Covariate Regression in Oversaturated Models. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64363

University of Houston

14. Ramos Nunez, Aurora Isabel 1975-. INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES.

Degree: Psychology, Department of, 2013, University of Houston

URL: http://hdl.handle.net/10657/1241

► Bilingualism requires individuals to manage their two languages in order to communicate with others. They may voluntarily or involuntarily switch back and forth between their…
(more)

Subjects/Keywords: Bilingualism; Cognitive Control; Dynamic Causal Modeling; Bayesian Model Selection; Language Switching

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APA (6^{th} Edition):

Ramos Nunez, A. I. 1. (2013). INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1241

Not specified: Masters Thesis or Doctoral Dissertation

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

Ramos Nunez, Aurora Isabel 1975-. “INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES.” 2013. Thesis, University of Houston. Accessed February 25, 2020. http://hdl.handle.net/10657/1241.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ramos Nunez, Aurora Isabel 1975-. “INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES.” 2013. Web. 25 Feb 2020.

Vancouver:

Ramos Nunez AI1. INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES. [Internet] [Thesis]. University of Houston; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10657/1241.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramos Nunez AI1. INVESTIGATING THE NEURAL CORRELATES OF LANGUAGE SWITCHING IN SPANISH ENGLISH BILINGUALS EMPLOYING EFFECTIVE CONNECTIVITY ANALYSES. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/1241

Not specified: Masters Thesis or Doctoral Dissertation

Northeastern University

15.
Guan, Yue.
* Bayesian* models for unsupervised feature

Degree: PhD, Department of Electrical and Computer Engineering, 2012, Northeastern University

URL: http://hdl.handle.net/2047/d20002991

► This dissertation focuses on developing probabilistic models for unsupervised feature *selection*. High-dimensional data often contain irrelevant and redundant features, which can hurt learning algorithms. One…
(more)

Subjects/Keywords: Bayesian Model; clustering; Feature selection; PCA; unsupervised learning; Computer Engineering

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

APA (6^{th} Edition):

Guan, Y. (2012). Bayesian models for unsupervised feature selection. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002991

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

Guan, Yue. “Bayesian models for unsupervised feature selection.” 2012. Doctoral Dissertation, Northeastern University. Accessed February 25, 2020. http://hdl.handle.net/2047/d20002991.

MLA Handbook (7^{th} Edition):

Guan, Yue. “Bayesian models for unsupervised feature selection.” 2012. Web. 25 Feb 2020.

Vancouver:

Guan Y. Bayesian models for unsupervised feature selection. [Internet] [Doctoral dissertation]. Northeastern University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/2047/d20002991.

Council of Science Editors:

Guan Y. Bayesian models for unsupervised feature selection. [Doctoral Dissertation]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002991

Arizona State University

16.
Giacomazzo, Mario.
Three Essays on Shrinkage Estimation and *Model* *Selection* of
Linear and Nonlinear Time Series Models.

Degree: Statistics, 2018, Arizona State University

URL: http://repository.asu.edu/items/50104

► The primary objective in time series analysis is forecasting. Raw data often exhibits nonstationary behavior: trends, seasonal cycles, and heteroskedasticity. After data is transformed to…
(more)

Subjects/Keywords: Statistics; Bayesian Shrinkage; Model Selection; Nonlinear Time Series

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APA (6^{th} Edition):

Giacomazzo, M. (2018). Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/50104

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

Giacomazzo, Mario. “Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models.” 2018. Doctoral Dissertation, Arizona State University. Accessed February 25, 2020. http://repository.asu.edu/items/50104.

MLA Handbook (7^{th} Edition):

Giacomazzo, Mario. “Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models.” 2018. Web. 25 Feb 2020.

Vancouver:

Giacomazzo M. Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models. [Internet] [Doctoral dissertation]. Arizona State University; 2018. [cited 2020 Feb 25]. Available from: http://repository.asu.edu/items/50104.

Council of Science Editors:

Giacomazzo M. Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models. [Doctoral Dissertation]. Arizona State University; 2018. Available from: http://repository.asu.edu/items/50104

Harvard University

17.
Rischard, Maxime.
Considering uncertainty in spatial models: causal inference, missing data imputations, and *model* comparison.

Degree: PhD, 2019, Harvard University

URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029482

►

I present two applications of spatial and spatiotemporal models that stretch the traditional domain of these models, and a method for estimating the marginal likelihood… (more)

Subjects/Keywords: Spatial; spatiotemporal; MCMC; Bayesian; climate; economics; causal inference; regression discontinuity designs; model comparison; model selection

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

APA (6^{th} Edition):

Rischard, M. (2019). Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029482

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

Rischard, Maxime. “Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison.” 2019. Doctoral Dissertation, Harvard University. Accessed February 25, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029482.

MLA Handbook (7^{th} Edition):

Rischard, Maxime. “Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison.” 2019. Web. 25 Feb 2020.

Vancouver:

Rischard M. Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison. [Internet] [Doctoral dissertation]. Harvard University; 2019. [cited 2020 Feb 25]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029482.

Council of Science Editors:

Rischard M. Considering uncertainty in spatial models: causal inference, missing data imputations, and model comparison. [Doctoral Dissertation]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029482

18.
Shin, Minsuk.
Priors for *Bayesian* Shrinkage and High-Dimensional *Model* * Selection*.

Degree: PhD, Statistics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/166096

► This dissertation focuses on the choice of priors in *Bayesian* *model* *selection* and their applied, theoretical and computational aspects. As George Box famously said ?all…
(more)

Subjects/Keywords: Bayesian model selection; Nonparametric model

…1.1
1.2
1.3
1
A Brief Review of *Bayesian* *Model* *Selection*… …1
1.1.1
*Bayesian* *Model* *Selection* for the Linear Regression *Model* . . . . . . .
3
1.1.2… …*Bayesian* *Model* *Selection* in the Nonparametric Regression . . . . . .
5
Research Challenges and… …TABLES
2.1
2.2
Optimal hyperparameters for *Bayesian* *model* *selection* methods… …Brief Review of *Bayesian* *Model* *Selection*
Suppose that a set of H models M = {M1…

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

APA (6^{th} Edition):

Shin, M. (2017). Priors for Bayesian Shrinkage and High-Dimensional Model Selection. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166096

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

Shin, Minsuk. “Priors for Bayesian Shrinkage and High-Dimensional Model Selection.” 2017. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/166096.

MLA Handbook (7^{th} Edition):

Shin, Minsuk. “Priors for Bayesian Shrinkage and High-Dimensional Model Selection.” 2017. Web. 25 Feb 2020.

Vancouver:

Shin M. Priors for Bayesian Shrinkage and High-Dimensional Model Selection. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/166096.

Council of Science Editors:

Shin M. Priors for Bayesian Shrinkage and High-Dimensional Model Selection. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166096

Texas A&M University

19.
Zhang, Lin.
Application of *Bayesian* Hierarchical Models in Genetic Data Analysis.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/148056

► Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is…
(more)

Subjects/Keywords: covariance estimation; feature selection; graphical network modeling; genetic data analysis; Bayesian hierarchical model

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APA (6^{th} Edition):

Zhang, L. (2012). Application of Bayesian Hierarchical Models in Genetic Data Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

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

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhang, Lin. “Application of Bayesian Hierarchical Models in Genetic Data Analysis.” 2012. Web. 25 Feb 2020.

Vancouver:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/148056.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Application of Bayesian Hierarchical Models in Genetic Data Analysis. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148056

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

20. Baurley, James William. Discovery of complex pathways from observational data.

Degree: PhD, Biostatistics, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/350758/rec/2024

► The etiology of complex diseases may involve a network of biological interactions, genetic and environmental. With the availability of high-throughput genotyping platforms, epidemiologists can thoroughly…
(more)

Subjects/Keywords: pathways; complex disease; biostatistics; epidemiology; Markov Chain Monte Carlo; Bayesian model selection

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APA (6^{th} Edition):

Baurley, J. W. (2010). Discovery of complex pathways from observational data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/350758/rec/2024

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

Baurley, James William. “Discovery of complex pathways from observational data.” 2010. Doctoral Dissertation, University of Southern California. Accessed February 25, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/350758/rec/2024.

MLA Handbook (7^{th} Edition):

Baurley, James William. “Discovery of complex pathways from observational data.” 2010. Web. 25 Feb 2020.

Vancouver:

Baurley JW. Discovery of complex pathways from observational data. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Feb 25]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/350758/rec/2024.

Council of Science Editors:

Baurley JW. Discovery of complex pathways from observational data. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/350758/rec/2024

Washington University in St. Louis

21.
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

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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 February 25, 2020. https://openscholarship.wustl.edu/etd/381.

MLA Handbook (7^{th} Edition):

Womack, Andrew. “Predictive Alternatives in Bayesian Model Selection.” 2011. Web. 25 Feb 2020.

Vancouver:

Womack A. Predictive Alternatives in Bayesian Model Selection. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2011. [cited 2020 Feb 25]. 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

Washington University in St. Louis

22.
Larsen, Trevor.
Differential Estimation of Audiograms using Gaussian Process Active *Model* * Selection*.

Degree: MS, Computer Science & Engineering, 2019, Washington University in St. Louis

URL: https://openscholarship.wustl.edu/eng_etds/438

► Classical methods for psychometric function estimation either require excessive resources to perform, as in the method of constants, or produce only a low resolution…
(more)

Subjects/Keywords: Audiogram; Machine Learning; Gaussian Process; Model Selection; Bayesian; Artificial Intelligence and Robotics; Diagnosis; Engineering

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APA (6^{th} Edition):

Larsen, T. (2019). Differential Estimation of Audiograms using Gaussian Process Active Model Selection. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/438

Not specified: Masters Thesis or Doctoral Dissertation

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

Larsen, Trevor. “Differential Estimation of Audiograms using Gaussian Process Active Model Selection.” 2019. Thesis, Washington University in St. Louis. Accessed February 25, 2020. https://openscholarship.wustl.edu/eng_etds/438.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Larsen, Trevor. “Differential Estimation of Audiograms using Gaussian Process Active Model Selection.” 2019. Web. 25 Feb 2020.

Vancouver:

Larsen T. Differential Estimation of Audiograms using Gaussian Process Active Model Selection. [Internet] [Thesis]. Washington University in St. Louis; 2019. [cited 2020 Feb 25]. Available from: https://openscholarship.wustl.edu/eng_etds/438.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Larsen T. Differential Estimation of Audiograms using Gaussian Process Active Model Selection. [Thesis]. Washington University in St. Louis; 2019. Available from: https://openscholarship.wustl.edu/eng_etds/438

Not specified: Masters Thesis or Doctoral Dissertation

University of Cincinnati

23.
Cornwall, Gary J.
Three Essays on *Bayesian* Econometric Methods.

Degree: PhD, Business: Business Administration, 2017, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553

► This dissertation contains three essays examining new *Bayesian* econometric methodologies. The first develops a heterogeneous Spatial Autoregressive *Model* by integrating a finite mixture *model* structure…
(more)

Subjects/Keywords: Economics; Spatial Econometrics; Predictive Model Selection; Bayesian Econometrics; Spatial Dependence; Spatial Heterogeneity

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

APA (6^{th} Edition):

Cornwall, G. J. (2017). Three Essays on Bayesian Econometric Methods. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553

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

Cornwall, Gary J. “Three Essays on Bayesian Econometric Methods.” 2017. Doctoral Dissertation, University of Cincinnati. Accessed February 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553.

MLA Handbook (7^{th} Edition):

Cornwall, Gary J. “Three Essays on Bayesian Econometric Methods.” 2017. Web. 25 Feb 2020.

Vancouver:

Cornwall GJ. Three Essays on Bayesian Econometric Methods. [Internet] [Doctoral dissertation]. University of Cincinnati; 2017. [cited 2020 Feb 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553.

Council of Science Editors:

Cornwall GJ. Three Essays on Bayesian Econometric Methods. [Doctoral Dissertation]. University of Cincinnati; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504801632767553

University of Washington

24. LaMont, Colin. The search for an organizing physical framework for statistics.

Degree: PhD, 2018, University of Washington

URL: http://hdl.handle.net/1773/42512

► Theories of statistical analysis remain in conflict and contradiction. But nature reveals an elegant and coherent formulation of statistics in the thermal properties of physical…
(more)

Subjects/Keywords: Bayesian; Frequentist; Information Criteria; Model Selection; Statistical Mechanics; Thermodynamics; Statistical physics; Statistics; Physics

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APA (6^{th} Edition):

LaMont, C. (2018). The search for an organizing physical framework for statistics. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42512

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

LaMont, Colin. “The search for an organizing physical framework for statistics.” 2018. Doctoral Dissertation, University of Washington. Accessed February 25, 2020. http://hdl.handle.net/1773/42512.

MLA Handbook (7^{th} Edition):

LaMont, Colin. “The search for an organizing physical framework for statistics.” 2018. Web. 25 Feb 2020.

Vancouver:

LaMont C. The search for an organizing physical framework for statistics. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1773/42512.

Council of Science Editors:

LaMont C. The search for an organizing physical framework for statistics. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42512

University of New Mexico

25.
Cheng, Yingzhe.
What Affects Parents’ Choice of Milk? An Application of *Bayesian* *Model* Averaging.

Degree: Mathematics & Statistics, 2016, University of New Mexico

URL: https://digitalrepository.unm.edu/math_etds/89

► This study identifies the factors that influence parents’ choice of milk for their children, using data from a unique survey administered in 2013 in…
(more)

Subjects/Keywords: Model selection; Bayesian model averaging; stepwise; logistic regression; food safety; food choice; Applied Statistics; Design of Experiments and Sample Surveys

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APA (6^{th} Edition):

Cheng, Y. (2016). What Affects Parents’ Choice of Milk? An Application of Bayesian Model Averaging. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/math_etds/89

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

Cheng, Yingzhe. “What Affects Parents’ Choice of Milk? An Application of Bayesian Model Averaging.” 2016. Masters Thesis, University of New Mexico. Accessed February 25, 2020. https://digitalrepository.unm.edu/math_etds/89.

MLA Handbook (7^{th} Edition):

Cheng, Yingzhe. “What Affects Parents’ Choice of Milk? An Application of Bayesian Model Averaging.” 2016. Web. 25 Feb 2020.

Vancouver:

Cheng Y. What Affects Parents’ Choice of Milk? An Application of Bayesian Model Averaging. [Internet] [Masters thesis]. University of New Mexico; 2016. [cited 2020 Feb 25]. Available from: https://digitalrepository.unm.edu/math_etds/89.

Council of Science Editors:

Cheng Y. What Affects Parents’ Choice of Milk? An Application of Bayesian Model Averaging. [Masters Thesis]. University of New Mexico; 2016. Available from: https://digitalrepository.unm.edu/math_etds/89

Universitat de Valencia

26.
Montolio Breva, Laura.
* Model* uncertainty and variable

Degree: 2019, Universitat de Valencia

URL: http://hdl.handle.net/10550/72103

► Las últimas décadas han visto un interés cada vez mayor en la IED, y un debate creciente sobre su modelización en términos de las variables…
(more)

Subjects/Keywords: foreign direct investment determinants; gravity model; bayesian model averaging; variable selection; spanish regions; germany; generalized linear models

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APA (6^{th} Edition):

Montolio Breva, L. (2019). Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe . (Doctoral Dissertation). Universitat de Valencia. Retrieved from http://hdl.handle.net/10550/72103

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

Montolio Breva, Laura. “Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe .” 2019. Doctoral Dissertation, Universitat de Valencia. Accessed February 25, 2020. http://hdl.handle.net/10550/72103.

MLA Handbook (7^{th} Edition):

Montolio Breva, Laura. “Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe .” 2019. Web. 25 Feb 2020.

Vancouver:

Montolio Breva L. Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe . [Internet] [Doctoral dissertation]. Universitat de Valencia; 2019. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10550/72103.

Council of Science Editors:

Montolio Breva L. Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe . [Doctoral Dissertation]. Universitat de Valencia; 2019. Available from: http://hdl.handle.net/10550/72103

27. Cerezetti, Fernando Valvano. Seleção de modelos econométricos não aninhados: J-Teste e FBST.

Degree: Mestrado, Estatística, 2007, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082013-094710/ ;

►

A comparação e seleção de modelos estatísticos desempenham um papel fundamental dentro da análise econométrica. No que se trata especificamente da avaliação de modelos não… (more)

Subjects/Keywords: Abordagem Bayesiana; Bayesian Theories; FBST; FBST; J-Test; J-Teste; Model Selection; Modelos Não Aninhados; Non Nested Models; Seleção de Modelos

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APA (6^{th} Edition):

Cerezetti, F. V. (2007). Seleção de modelos econométricos não aninhados: J-Teste e FBST. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082013-094710/ ;

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

Cerezetti, Fernando Valvano. “Seleção de modelos econométricos não aninhados: J-Teste e FBST.” 2007. Masters Thesis, University of São Paulo. Accessed February 25, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082013-094710/ ;.

MLA Handbook (7^{th} Edition):

Cerezetti, Fernando Valvano. “Seleção de modelos econométricos não aninhados: J-Teste e FBST.” 2007. Web. 25 Feb 2020.

Vancouver:

Cerezetti FV. Seleção de modelos econométricos não aninhados: J-Teste e FBST. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Feb 25]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082013-094710/ ;.

Council of Science Editors:

Cerezetti FV. Seleção de modelos econométricos não aninhados: J-Teste e FBST. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082013-094710/ ;

Texas A&M University

28. Wu, Mingqi. Population SAMC, ChIP-chip Data Analysis and Beyond.

Degree: 2011, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

► This dissertation research consists of two topics, population stochastics approximation Monte Carlo (Pop-SAMC) for Baysian *model* *selection* problems and ChIP-chip data analysis. The following two…
(more)

Subjects/Keywords: Markov Chain Monte Carlo; Stochastic Approximation; Metropolis-Hastings Algorithm; Bayesian Model Selection; ChIP-chip; Latent Variable; Multiple Hypothesis Test

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

APA (6^{th} Edition):

Wu, M. (2011). Population SAMC, ChIP-chip Data Analysis and Beyond. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

Not specified: Masters Thesis or Doctoral Dissertation

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

Wu, Mingqi. “Population SAMC, ChIP-chip Data Analysis and Beyond.” 2011. Thesis, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wu, Mingqi. “Population SAMC, ChIP-chip Data Analysis and Beyond.” 2011. Web. 25 Feb 2020.

Vancouver:

Wu M. Population SAMC, ChIP-chip Data Analysis and Beyond. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu M. Population SAMC, ChIP-chip Data Analysis and Beyond. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8752

Not specified: Masters Thesis or Doctoral Dissertation

North Carolina State University

29.
Gosky, Ross Matthew.
* Bayesian* Analysis and Matching Errors in Closed Population Capture Recapture Models.

Degree: PhD, Statistics, 2005, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/3087

► Capture-Recapture models are used to estimate the unknown sizes of animal populations. When the population is closed, with constant size, during the study, eight standard…
(more)

Subjects/Keywords: Bayesian; Model Selection; Matching Errors; mark-recapture; capture-recapture

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APA (6^{th} Edition):

Gosky, R. M. (2005). Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3087

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

Gosky, Ross Matthew. “Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models.” 2005. Doctoral Dissertation, North Carolina State University. Accessed February 25, 2020. http://www.lib.ncsu.edu/resolver/1840.16/3087.

MLA Handbook (7^{th} Edition):

Gosky, Ross Matthew. “Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models.” 2005. Web. 25 Feb 2020.

Vancouver:

Gosky RM. Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2020 Feb 25]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3087.

Council of Science Editors:

Gosky RM. Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3087

Texas A&M University

30. Gao, Wenzheng. Essays on Microeconometrics with Applications to Social Network.

Degree: PhD, Economics, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173468

► This dissertation includes three chapters on microeconometrics with applications to social network. In the first chapter, we study identification and estimation of peer effects in…
(more)

Subjects/Keywords: Microeconometrics; Social Network; Peer Effect; Homophily Effect; Bayesian Nash Equilibrium; Measurement Error; Binary Response Model; Smoothed Maximum Score Estimation; Bandwidth Selection

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

APA (6^{th} Edition):

Gao, W. (2018). Essays on Microeconometrics with Applications to Social Network. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173468

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

Gao, Wenzheng. “Essays on Microeconometrics with Applications to Social Network.” 2018. Doctoral Dissertation, Texas A&M University. Accessed February 25, 2020. http://hdl.handle.net/1969.1/173468.

MLA Handbook (7^{th} Edition):

Gao, Wenzheng. “Essays on Microeconometrics with Applications to Social Network.” 2018. Web. 25 Feb 2020.

Vancouver:

Gao W. Essays on Microeconometrics with Applications to Social Network. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1969.1/173468.

Council of Science Editors:

Gao W. Essays on Microeconometrics with Applications to Social Network. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173468