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1.
Parks, Matthew.
* Bayesian* statistical inference of non-allelic homologous
recombination in the human genome using high-throughput sequencing
data.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386252/

► Non-allelic homologous recombination (NAHR) plays a major role in genome rearrangement and is implicated in numerous genetic disorders. But detection of NAHR poses a serious…
(more)

Subjects/Keywords: bayesian

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Parks, M. (2014). Bayesian statistical inference of non-allelic homologous recombination in the human genome using high-throughput sequencing data. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386252/

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

Parks, Matthew. “Bayesian statistical inference of non-allelic homologous recombination in the human genome using high-throughput sequencing data.” 2014. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:386252/.

MLA Handbook (7^{th} Edition):

Parks, Matthew. “Bayesian statistical inference of non-allelic homologous recombination in the human genome using high-throughput sequencing data.” 2014. Web. 21 Sep 2020.

Vancouver:

Parks M. Bayesian statistical inference of non-allelic homologous recombination in the human genome using high-throughput sequencing data. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386252/.

Council of Science Editors:

Parks M. Bayesian statistical inference of non-allelic homologous recombination in the human genome using high-throughput sequencing data. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386252/

University of Manitoba

2.
Kpekpena, Cynthia.
* Bayesian* analysis of binary and count data in two-arm trials.

Degree: Statistics, 2014, University of Manitoba

URL: http://hdl.handle.net/1993/23588

► Binary and count data naturally arise in clinical trials in health sciences. We consider a *Bayesian* analysis of binary and count data arising from two-arm…
(more)

Subjects/Keywords: Bayesian

Record Details Similar Records

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

APA (6^{th} Edition):

Kpekpena, C. (2014). Bayesian analysis of binary and count data in two-arm trials. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23588

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

Kpekpena, Cynthia. “Bayesian analysis of binary and count data in two-arm trials.” 2014. Masters Thesis, University of Manitoba. Accessed September 21, 2020. http://hdl.handle.net/1993/23588.

MLA Handbook (7^{th} Edition):

Kpekpena, Cynthia. “Bayesian analysis of binary and count data in two-arm trials.” 2014. Web. 21 Sep 2020.

Vancouver:

Kpekpena C. Bayesian analysis of binary and count data in two-arm trials. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/1993/23588.

Council of Science Editors:

Kpekpena C. Bayesian analysis of binary and count data in two-arm trials. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23588

University of Helsinki

3.
Cheng, Lu.
* Bayesian* methods in bacterial population genomics.

Degree: Department of Mathematics and Statistics, 2013, University of Helsinki

URL: http://hdl.handle.net/10138/40302

►

Vast amounts of molecular data are being generated every day. However, how to properly harness the data remains often a challenge for many biologists. Firstly,… (more)

Subjects/Keywords: bayesian statistics; bayesian statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Cheng, L. (2013). Bayesian methods in bacterial population genomics. (Doctoral Dissertation). University of Helsinki. Retrieved from http://hdl.handle.net/10138/40302

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

Cheng, Lu. “Bayesian methods in bacterial population genomics.” 2013. Doctoral Dissertation, University of Helsinki. Accessed September 21, 2020. http://hdl.handle.net/10138/40302.

MLA Handbook (7^{th} Edition):

Cheng, Lu. “Bayesian methods in bacterial population genomics.” 2013. Web. 21 Sep 2020.

Vancouver:

Cheng L. Bayesian methods in bacterial population genomics. [Internet] [Doctoral dissertation]. University of Helsinki; 2013. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10138/40302.

Council of Science Editors:

Cheng L. Bayesian methods in bacterial population genomics. [Doctoral Dissertation]. University of Helsinki; 2013. Available from: http://hdl.handle.net/10138/40302

University of Oxford

4.
Gray-Davies, Tristan Daniel.
Scalable *Bayesian* regression utilising marginal information.

Degree: PhD, 2017, University of Oxford

URL: https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396

► This thesis explores approaches to regression that utilise the treatment of covariates as random variables. The distribution of covariates, along with the conditional regression model…
(more)

Subjects/Keywords: 519.5; Regression; Bayesian; Bayesian Nonparametrics

Record Details Similar Records

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

APA (6^{th} Edition):

Gray-Davies, T. D. (2017). Scalable Bayesian regression utilising marginal information. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396

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

Gray-Davies, Tristan Daniel. “Scalable Bayesian regression utilising marginal information.” 2017. Doctoral Dissertation, University of Oxford. Accessed September 21, 2020. https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396.

MLA Handbook (7^{th} Edition):

Gray-Davies, Tristan Daniel. “Scalable Bayesian regression utilising marginal information.” 2017. Web. 21 Sep 2020.

Vancouver:

Gray-Davies TD. Scalable Bayesian regression utilising marginal information. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2020 Sep 21]. Available from: https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396.

Council of Science Editors:

Gray-Davies TD. Scalable Bayesian regression utilising marginal information. [Doctoral Dissertation]. University of Oxford; 2017. Available from: https://ora.ox.ac.uk/objects/uuid:ad69017a-57fb-4b54-bc82-9e564796f55f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729396

5.
Doraiswamy, Srikrishna.
Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A *Bayesian* Approach.

Degree: 2013, Texas Digital Library

URL: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66804

► The aim of the current work is to develop a *Bayesian* approach to model and simulate the behavior of materials with nonlinear mechanical response in…
(more)

Subjects/Keywords: Bayesian inference

Record Details Similar Records

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

APA (6^{th} Edition):

Doraiswamy, S. (2013). Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A Bayesian Approach. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66804

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):

Doraiswamy, Srikrishna. “Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A Bayesian Approach.” 2013. Thesis, Texas Digital Library. Accessed September 21, 2020. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66804.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Doraiswamy, Srikrishna. “Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A Bayesian Approach.” 2013. Web. 21 Sep 2020.

Vancouver:

Doraiswamy S. Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A Bayesian Approach. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66804.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doraiswamy S. Characterization of Nonlinear Material Response in the Presence of Large Uncertainties ??? A Bayesian Approach. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66804

Not specified: Masters Thesis or Doctoral Dissertation

6.
Karakci, Ata.
* BAYESIAN* ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC
OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND
POLARIZATION.

Degree: PhD, Physics, 2014, Brown University

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

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

Subjects/Keywords: bayesian analysis

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

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

Karakci, Ata. “BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION.” 2014. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:386173/.

MLA Handbook (7^{th} Edition):

Karakci, Ata. “BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION.” 2014. Web. 21 Sep 2020.

Vancouver:

Karakci A. BAYESIAN ANALYSIS OF SYSTEMATIC EFFECTS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND POLARIZATION. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386173/.

Council of Science Editors:

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

7.
Sugden, Lauren Alpert.
Structure, Variation, and Reproducibility: *Bayesian*
inference in problems arising from the study of RNA and an
RNA-binding protein.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386269/

► Far from being solely a passive messenger between DNA and protein, RNA is a complex molecule involved in regulation at many levels. While the best-known…
(more)

Subjects/Keywords: Bayesian inference

Record Details Similar Records

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

APA (6^{th} Edition):

Sugden, L. A. (2014). Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386269/

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

Sugden, Lauren Alpert. “Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein.” 2014. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:386269/.

MLA Handbook (7^{th} Edition):

Sugden, Lauren Alpert. “Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein.” 2014. Web. 21 Sep 2020.

Vancouver:

Sugden LA. Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386269/.

Council of Science Editors:

Sugden LA. Structure, Variation, and Reproducibility: Bayesian inference in problems arising from the study of RNA and an RNA-binding protein. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386269/

8.
Miller, Jeffrey W.
Nonparametric and Variable-Dimension *Bayesian* Mixture
Models: Analysis, Comparison, and New Methods.

Degree: PhD, Applied Mathematics, 2014, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:386270/

► Many nonparametric *Bayesian* models can be viewed as an infinite-dimensional limit of a family of finite-dimensional models. However, another way to construct a flexible *Bayesian*…
(more)

Subjects/Keywords: Bayesian nonparametrics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Miller, J. W. (2014). Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386270/

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

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:386270/.

MLA Handbook (7^{th} Edition):

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Web. 21 Sep 2020.

Vancouver:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/.

Council of Science Editors:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/

9. Gu, Chenyang. Statistical Missing Data Methods with Applications to Health Services Research.

Degree: Biostatistics, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:730655/

► This dissertation presents three statistical missing data methods with applications to health services research. The assessment of patients' functional status across the continuum of care…
(more)

Subjects/Keywords: Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Gu, C. (2016). Statistical Missing Data Methods with Applications to Health Services Research. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:730655/

Not specified: Masters Thesis or Doctoral Dissertation

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

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Thesis, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:730655/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gu, Chenyang. “Statistical Missing Data Methods with Applications to Health Services Research.” 2016. Web. 21 Sep 2020.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:730655/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Thesis]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:730655/

Not specified: Masters Thesis or Doctoral Dissertation

10.
Kim, Daeil.
Scalable *Bayesian* Nonparametric Models for Networks and
Documents.

Degree: Department of Computer Science, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:733381/

► We develop *Bayesian* nonparametric statistical models of document collections and social networks. Extending classic parametric topic models of documents, and stochastic block models of networks,…
(more)

Subjects/Keywords: Bayesian Nonparametrics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Kim, D. (2016). Scalable Bayesian Nonparametric Models for Networks and Documents. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733381/

Not specified: Masters Thesis or Doctoral Dissertation

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

Kim, Daeil. “Scalable Bayesian Nonparametric Models for Networks and Documents.” 2016. Thesis, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:733381/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kim, Daeil. “Scalable Bayesian Nonparametric Models for Networks and Documents.” 2016. Web. 21 Sep 2020.

Vancouver:

Kim D. Scalable Bayesian Nonparametric Models for Networks and Documents. [Internet] [Thesis]. Brown University; 2016. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:733381/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim D. Scalable Bayesian Nonparametric Models for Networks and Documents. [Thesis]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:733381/

Not specified: Masters Thesis or Doctoral Dissertation

11.
Lin, Luan.
* Bayesian* Inference and High-D space Characterization with
application in Paleoclimatology and Biology.

Degree: PhD, Applied Mathematics, 2012, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:297525/

► This thesis is a mathematical study of paleoclimatology and computational biology. Part I gives an introduction and overview of this dissertation. Part II presents the…
(more)

Subjects/Keywords: bayesian inference

Record Details Similar Records

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

APA (6^{th} Edition):

Lin, L. (2012). Bayesian Inference and High-D space Characterization with application in Paleoclimatology and Biology. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297525/

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

Lin, Luan. “Bayesian Inference and High-D space Characterization with application in Paleoclimatology and Biology.” 2012. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:297525/.

MLA Handbook (7^{th} Edition):

Lin, Luan. “Bayesian Inference and High-D space Characterization with application in Paleoclimatology and Biology.” 2012. Web. 21 Sep 2020.

Vancouver:

Lin L. Bayesian Inference and High-D space Characterization with application in Paleoclimatology and Biology. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:297525/.

Council of Science Editors:

Lin L. Bayesian Inference and High-D space Characterization with application in Paleoclimatology and Biology. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297525/

12. Hughes, Michael C. Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences.

Degree: PhD, Computer Science, 2016, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:674327/

► We develop new algorithms for training nonparametric clustering models based on the Dirichlet Process (DP), including DP mixture models, hierarchical Dirichlet process (HDP) topic models,…
(more)

Subjects/Keywords: Bayesian nonparametrics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Hughes, M. C. (2016). Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674327/

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

Hughes, Michael C. “Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences.” 2016. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:674327/.

MLA Handbook (7^{th} Edition):

Hughes, Michael C. “Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences.” 2016. Web. 21 Sep 2020.

Vancouver:

Hughes MC. Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:674327/.

Council of Science Editors:

Hughes MC. Reliable and scalable variational inference for nonparametric mixtures, topics, and sequences. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674327/

13.
Ghosh, Soumya.
* Bayesian* Nonparametric Discovery of Layers and Parts from
Scenes and Objects.

Degree: PhD, Computer Science, 2015, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:419552/

► We develop statistical methods for analyzing natural images, videos, motion capture (MoCap) sequences, and three-dimensional (3D) representations of articulated objects. Our goal is to discover…
(more)

Subjects/Keywords: Bayesian nonparametrics

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ghosh, S. (2015). Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419552/

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

Ghosh, Soumya. “Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects.” 2015. Doctoral Dissertation, Brown University. Accessed September 21, 2020. https://repository.library.brown.edu/studio/item/bdr:419552/.

MLA Handbook (7^{th} Edition):

Ghosh, Soumya. “Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects.” 2015. Web. 21 Sep 2020.

Vancouver:

Ghosh S. Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:419552/.

Council of Science Editors:

Ghosh S. Bayesian Nonparametric Discovery of Layers and Parts from Scenes and Objects. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419552/

14.
Davis, Bryant Frost.
Constructing a *Bayesian* Spatial Presence-Absence Model for Animals in the Serengeti National Park.

Degree: 2016, Wake Forest University

URL: http://hdl.handle.net/10339/59266

► Ecologists have been spearheading the Snapshot Serengeti project in Tanzania's Serengeti National Park for the past few years, a large camera trap project with the…
(more)

Subjects/Keywords: Bayesian

…common to use an autologistic model to predict presence or absence within a
*Bayesian*…

Record Details Similar Records

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

APA (6^{th} Edition):

Davis, B. F. (2016). Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/59266

Not specified: Masters Thesis or Doctoral Dissertation

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

Davis, Bryant Frost. “Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park.” 2016. Thesis, Wake Forest University. Accessed September 21, 2020. http://hdl.handle.net/10339/59266.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Davis, Bryant Frost. “Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park.” 2016. Web. 21 Sep 2020.

Vancouver:

Davis BF. Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park. [Internet] [Thesis]. Wake Forest University; 2016. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10339/59266.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davis BF. Constructing a Bayesian Spatial Presence-Absence Model for Animals in the Serengeti National Park. [Thesis]. Wake Forest University; 2016. Available from: http://hdl.handle.net/10339/59266

Not specified: Masters Thesis or Doctoral Dissertation

15.
Patton, Kristopher Laurence.
* Bayesian* Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data.

Degree: 2012, Wake Forest University

URL: http://hdl.handle.net/10339/37257

► Biological experiments of proteins and genes often involve the collection of multiple replicates of sparse time-course data. From such time-course data, protein (or gene) interaction…
(more)

Subjects/Keywords: Bayesian

…and multiple
replicates. This is accomplished through *Bayesian* inference in conjunction with… …the
Metropolis-Hastings algorithm. The *Bayesian* posterior probability is computed for
two… …probabilistically from a
*Bayesian* perspective. Modeling of protein interactions and gene associations from… …edges with high posterior probability
are compared.
3
Chapter 2:
*Bayesian* probabilistic… …based regression likelihood,
low informative empirical priors and *Bayesian* model averaging…

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

APA (6^{th} Edition):

Patton, K. L. (2012). Bayesian Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/37257

Not specified: Masters Thesis or Doctoral Dissertation

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

Patton, Kristopher Laurence. “Bayesian Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data.” 2012. Thesis, Wake Forest University. Accessed September 21, 2020. http://hdl.handle.net/10339/37257.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Patton, Kristopher Laurence. “Bayesian Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data.” 2012. Web. 21 Sep 2020.

Vancouver:

Patton KL. Bayesian Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data. [Internet] [Thesis]. Wake Forest University; 2012. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10339/37257.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patton KL. Bayesian Interaction and Association Networks From Multiple Replicates of Sparse Time-Course Data. [Thesis]. Wake Forest University; 2012. Available from: http://hdl.handle.net/10339/37257

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago

16.
Kaminski-Ozturk, Nicole.
A *Bayesian* Robust IRT Outlier Detection Model.

Degree: 2018, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/23273

► In the context of psychometric practice, the parameter estimates of a standard item-response theory (IRT) model may become biased when item-response data, of persons’ individual…
(more)

Subjects/Keywords: Psychometrics; Bayesian

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APA (6^{th} Edition):

Kaminski-Ozturk, N. (2018). A Bayesian Robust IRT Outlier Detection Model. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/23273

Not specified: Masters Thesis or Doctoral Dissertation

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

Kaminski-Ozturk, Nicole. “A Bayesian Robust IRT Outlier Detection Model.” 2018. Thesis, University of Illinois – Chicago. Accessed September 21, 2020. http://hdl.handle.net/10027/23273.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kaminski-Ozturk, Nicole. “A Bayesian Robust IRT Outlier Detection Model.” 2018. Web. 21 Sep 2020.

Vancouver:

Kaminski-Ozturk N. A Bayesian Robust IRT Outlier Detection Model. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10027/23273.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kaminski-Ozturk N. A Bayesian Robust IRT Outlier Detection Model. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/23273

Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University

17.
Bhale, Ishan Singh.
* Bayesian* inference application to burglary detection.

Degree: MSCS, Computer Sciences, 2012, Louisiana State University

URL: etd-01222013-155000 ; https://digitalcommons.lsu.edu/gradschool_theses/2382

► Real time motion tracking is very important for video analytics. But very little research has been done in identifying the top-level plans behind the atomic…
(more)

Subjects/Keywords: Bayesian Inference

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APA (6^{th} Edition):

Bhale, I. S. (2012). Bayesian inference application to burglary detection. (Masters Thesis). Louisiana State University. Retrieved from etd-01222013-155000 ; https://digitalcommons.lsu.edu/gradschool_theses/2382

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

Bhale, Ishan Singh. “Bayesian inference application to burglary detection.” 2012. Masters Thesis, Louisiana State University. Accessed September 21, 2020. etd-01222013-155000 ; https://digitalcommons.lsu.edu/gradschool_theses/2382.

MLA Handbook (7^{th} Edition):

Bhale, Ishan Singh. “Bayesian inference application to burglary detection.” 2012. Web. 21 Sep 2020.

Vancouver:

Bhale IS. Bayesian inference application to burglary detection. [Internet] [Masters thesis]. Louisiana State University; 2012. [cited 2020 Sep 21]. Available from: etd-01222013-155000 ; https://digitalcommons.lsu.edu/gradschool_theses/2382.

Council of Science Editors:

Bhale IS. Bayesian inference application to burglary detection. [Masters Thesis]. Louisiana State University; 2012. Available from: etd-01222013-155000 ; https://digitalcommons.lsu.edu/gradschool_theses/2382

University of Utah

18.
Rai, Piyush.
Learning latent structures via *bayesian* nonparametrics: new models and efficient inference.

Degree: PhD, Computer Science, 2013, University of Utah

URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3460/rec/1472

► Latent structures play a vital role in many data analysis tasks. By providing compactyet expressive representations, such structures can offer useful insights into the complexand…
(more)

Subjects/Keywords: Bayesian learning; Bayesian nonparametrics; Machine learning

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APA (6^{th} Edition):

Rai, P. (2013). Learning latent structures via bayesian nonparametrics: new models and efficient inference. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3460/rec/1472

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

Rai, Piyush. “Learning latent structures via bayesian nonparametrics: new models and efficient inference.” 2013. Doctoral Dissertation, University of Utah. Accessed September 21, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3460/rec/1472.

MLA Handbook (7^{th} Edition):

Rai, Piyush. “Learning latent structures via bayesian nonparametrics: new models and efficient inference.” 2013. Web. 21 Sep 2020.

Vancouver:

Rai P. Learning latent structures via bayesian nonparametrics: new models and efficient inference. [Internet] [Doctoral dissertation]. University of Utah; 2013. [cited 2020 Sep 21]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3460/rec/1472.

Council of Science Editors:

Rai P. Learning latent structures via bayesian nonparametrics: new models and efficient inference. [Doctoral Dissertation]. University of Utah; 2013. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3460/rec/1472

Princeton University

19. Shiraito, Yuki. Essays in Political Methodology .

Degree: PhD, 2017, Princeton University

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

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

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

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APA (6^{th} Edition):

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

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

Shiraito, Yuki. “Essays in Political Methodology .” 2017. Doctoral Dissertation, Princeton University. Accessed September 21, 2020. http://arks.princeton.edu/ark:/88435/dsp01wd375z938.

MLA Handbook (7^{th} Edition):

Shiraito, Yuki. “Essays in Political Methodology .” 2017. Web. 21 Sep 2020.

Vancouver:

Shiraito Y. Essays in Political Methodology . [Internet] [Doctoral dissertation]. Princeton University; 2017. [cited 2020 Sep 21]. Available from: http://arks.princeton.edu/ark:/88435/dsp01wd375z938.

Council of Science Editors:

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

University of New South Wales

20.
Tang, Yating.
Prior information and multi-objective analysis in *Bayesian* ecohydrological modeling.

Degree: Civil & Environmental Engineering, 2017, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true

► This thesis presents a *Bayesian* multi-objective calibration approach associated with uncertainty analysis in ecohydrological modeling. This work focuses on three main objectives: (1) the development…
(more)

Subjects/Keywords: ecohydrological model; Bayesian ecohydrological modeling; Bayesian

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APA (6^{th} Edition):

Tang, Y. (2017). Prior information and multi-objective analysis in Bayesian ecohydrological modeling. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true

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

Tang, Yating. “Prior information and multi-objective analysis in Bayesian ecohydrological modeling.” 2017. Doctoral Dissertation, University of New South Wales. Accessed September 21, 2020. http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Tang, Yating. “Prior information and multi-objective analysis in Bayesian ecohydrological modeling.” 2017. Web. 21 Sep 2020.

Vancouver:

Tang Y. Prior information and multi-objective analysis in Bayesian ecohydrological modeling. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Sep 21]. Available from: http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true.

Council of Science Editors:

Tang Y. Prior information and multi-objective analysis in Bayesian ecohydrological modeling. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/60071 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51327/SOURCE02?view=true

University of Georgia

21.
Shackelford, Robert Hill.
Using *Bayesian* model averaging to improve hurricane track forecasts.

Degree: 2018, University of Georgia

URL: http://hdl.handle.net/10724/37504

► I study whether *Bayesian* composite forecasting can produce improved track forecasts for hurricanes. Using data on hurricanes back to 2005, the first step is to…
(more)

Subjects/Keywords: Bayesian; Hurricane Forecasting; Bayesian Model Averaging; Tracking

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

APA (6^{th} Edition):

Shackelford, R. H. (2018). Using Bayesian model averaging to improve hurricane track forecasts. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37504

Not specified: Masters Thesis or Doctoral Dissertation

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

Shackelford, Robert Hill. “Using Bayesian model averaging to improve hurricane track forecasts.” 2018. Thesis, University of Georgia. Accessed September 21, 2020. http://hdl.handle.net/10724/37504.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shackelford, Robert Hill. “Using Bayesian model averaging to improve hurricane track forecasts.” 2018. Web. 21 Sep 2020.

Vancouver:

Shackelford RH. Using Bayesian model averaging to improve hurricane track forecasts. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10724/37504.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shackelford RH. Using Bayesian model averaging to improve hurricane track forecasts. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/37504

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

22.
Moridis, Nefeli G.
A Production Characterization of the Eagle Ford Shale, Texas - A *Bayesian* Analysis Approach.

Degree: MS, Petroleum Engineering, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155011

► We begin this research by asking "can we better estimate reserves in unconventional reservoirs using Bayes' theorem?" To attempt to answer this question, we obtained…
(more)

Subjects/Keywords: Production Characterization; Bayesian

Record Details Similar Records

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APA (6^{th} Edition):

Moridis, N. G. (2015). A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155011

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

Moridis, Nefeli G. “A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach.” 2015. Masters Thesis, Texas A&M University. Accessed September 21, 2020. http://hdl.handle.net/1969.1/155011.

MLA Handbook (7^{th} Edition):

Moridis, Nefeli G. “A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach.” 2015. Web. 21 Sep 2020.

Vancouver:

Moridis NG. A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/1969.1/155011.

Council of Science Editors:

Moridis NG. A Production Characterization of the Eagle Ford Shale, Texas - A Bayesian Analysis Approach. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155011

University of Newcastle

23.
Tran, Khoa T.
Computational solutions for *Bayesian* inference in dynamical systems.

Degree: MPhil, 2016, University of Newcastle

URL: http://hdl.handle.net/1959.13/1322481

►

Masters Research - Master of Philosophy (MPhil)

This thesis proposes *Bayesian* inference as a feasible and possibly, under some circumstances, preferable alternative to mainstream approaches…
(more)

Subjects/Keywords: MCMC; Bayesian computation

Record Details Similar Records

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APA (6^{th} Edition):

Tran, K. T. (2016). Computational solutions for Bayesian inference in dynamical systems. (Masters Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1322481

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

Tran, Khoa T. “Computational solutions for Bayesian inference in dynamical systems.” 2016. Masters Thesis, University of Newcastle. Accessed September 21, 2020. http://hdl.handle.net/1959.13/1322481.

MLA Handbook (7^{th} Edition):

Tran, Khoa T. “Computational solutions for Bayesian inference in dynamical systems.” 2016. Web. 21 Sep 2020.

Vancouver:

Tran KT. Computational solutions for Bayesian inference in dynamical systems. [Internet] [Masters thesis]. University of Newcastle; 2016. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/1959.13/1322481.

Council of Science Editors:

Tran KT. Computational solutions for Bayesian inference in dynamical systems. [Masters Thesis]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1322481

Tulane University

24.
Aleksandra Gorzycka.
* Bayesian* Updating and Statistical Inference for Beta-binomial Models.

Degree: 2018, Tulane University

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

►

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

Subjects/Keywords: Statistics; Bayesian Analysis

Record Details Similar Records

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

Gorzycka, Aleksandra. “Bayesian Updating and Statistical Inference for Beta-binomial Models.” 2018. Thesis, Tulane University. Accessed September 21, 2020. https://digitallibrary.tulane.edu/islandora/object/tulane:81679.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gorzycka, Aleksandra. “Bayesian Updating and Statistical Inference for Beta-binomial Models.” 2018. Web. 21 Sep 2020.

Vancouver:

Gorzycka A. Bayesian Updating and Statistical Inference for Beta-binomial Models. [Internet] [Thesis]. Tulane University; 2018. [cited 2020 Sep 21]. Available from: https://digitallibrary.tulane.edu/islandora/object/tulane:81679.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

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

Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

25.
Drovandi, Christopher Colin.
* Bayesian* algorithms with applications.

Degree: 2012, Queensland University of Technology

URL: https://eprints.qut.edu.au/57317/

► Advances in algorithms for approximate sampling from a multivariable target function have led to solutions to challenging statistical inference problems that would otherwise not be…
(more)

Subjects/Keywords: Bayesian algorithms; applications

Record Details Similar Records

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APA (6^{th} Edition):

Drovandi, C. C. (2012). Bayesian algorithms with applications. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/57317/

Not specified: Masters Thesis or Doctoral Dissertation

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

Drovandi, Christopher Colin. “Bayesian algorithms with applications.” 2012. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/57317/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Drovandi, Christopher Colin. “Bayesian algorithms with applications.” 2012. Web. 21 Sep 2020.

Vancouver:

Drovandi CC. Bayesian algorithms with applications. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/57317/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Drovandi CC. Bayesian algorithms with applications. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/57317/

Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

26.
Lee, Jeong Eun.
* Bayesian* hybrid algorithms and models : implementation and associated issues.

Degree: 2010, Queensland University of Technology

URL: https://eprints.qut.edu.au/33151/

► This thesis addresses computational challenges arising from *Bayesian* analysis of complex real-world problems. Many of the models and algorithms designed for such analysis are ‘hybrid’…
(more)

Subjects/Keywords: Bayesian hybrid algorithms

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APA (6^{th} Edition):

Lee, J. E. (2010). Bayesian hybrid algorithms and models : implementation and associated issues. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/33151/

Not specified: Masters Thesis or Doctoral Dissertation

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

Lee, Jeong Eun. “Bayesian hybrid algorithms and models : implementation and associated issues.” 2010. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/33151/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Jeong Eun. “Bayesian hybrid algorithms and models : implementation and associated issues.” 2010. Web. 21 Sep 2020.

Vancouver:

Lee JE. Bayesian hybrid algorithms and models : implementation and associated issues. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/33151/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee JE. Bayesian hybrid algorithms and models : implementation and associated issues. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/33151/

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

27.
Cheng, Joyce H., 1986-.
* Bayesian* methods for hurdle models.

Degree: PhD, Baylor University. Dept. of Statistical Sciences., 2015, Baylor University

URL: http://hdl.handle.net/2104/9297

► Hurdle models are often presented as an alternative to zero-inflated models for count data with excess zeros. They consist of two parts: a binary model…
(more)

Subjects/Keywords: Hurdle model; Bayesian

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APA (6^{th} Edition):

Cheng, Joyce H., 1. (2015). Bayesian methods for hurdle models. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/9297

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

Cheng, Joyce H., 1986-. “Bayesian methods for hurdle models.” 2015. Doctoral Dissertation, Baylor University. Accessed September 21, 2020. http://hdl.handle.net/2104/9297.

MLA Handbook (7^{th} Edition):

Cheng, Joyce H., 1986-. “Bayesian methods for hurdle models.” 2015. Web. 21 Sep 2020.

Vancouver:

Cheng, Joyce H. 1. Bayesian methods for hurdle models. [Internet] [Doctoral dissertation]. Baylor University; 2015. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/2104/9297.

Council of Science Editors:

Cheng, Joyce H. 1. Bayesian methods for hurdle models. [Doctoral Dissertation]. Baylor University; 2015. Available from: http://hdl.handle.net/2104/9297

University of Cape Town

28. Nickless, Alecia. Regional CO₂ flux estimates for South Africa through inverse modelling.

Degree: PhD, Statistical Sciences, 2018, University of Cape Town

URL: http://hdl.handle.net/11427/29703

► *Bayesian* inverse modelling provides a top-down technique of verifying emissions and uptake of carbon dioxide (CO₂) from both natural and anthropogenic sources. It relies on…
(more)

Subjects/Keywords: Bayesian inverse modelling

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APA (6^{th} Edition):

Nickless, A. (2018). Regional CO₂ flux estimates for South Africa through inverse modelling. (Doctoral Dissertation). University of Cape Town. Retrieved from http://hdl.handle.net/11427/29703

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

Nickless, Alecia. “Regional CO₂ flux estimates for South Africa through inverse modelling.” 2018. Doctoral Dissertation, University of Cape Town. Accessed September 21, 2020. http://hdl.handle.net/11427/29703.

MLA Handbook (7^{th} Edition):

Nickless, Alecia. “Regional CO₂ flux estimates for South Africa through inverse modelling.” 2018. Web. 21 Sep 2020.

Vancouver:

Nickless A. Regional CO₂ flux estimates for South Africa through inverse modelling. [Internet] [Doctoral dissertation]. University of Cape Town; 2018. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/11427/29703.

Council of Science Editors:

Nickless A. Regional CO₂ flux estimates for South Africa through inverse modelling. [Doctoral Dissertation]. University of Cape Town; 2018. Available from: http://hdl.handle.net/11427/29703

29.
Le, Ellen Brooke.
Data-driven reduction strategies for *Bayesian* inverse problems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/65851

► A persistent central challenge in computational science and engineering (CSE), with both national and global security implications, is the efficient solution of large-scale *Bayesian* inverse…
(more)

Subjects/Keywords: Bayesian inverse problems

Record Details Similar Records

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APA (6^{th} Edition):

Le, E. B. (2018). Data-driven reduction strategies for Bayesian inverse problems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65851

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

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed September 21, 2020. http://hdl.handle.net/2152/65851.

MLA Handbook (7^{th} Edition):

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Web. 21 Sep 2020.

Vancouver:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/2152/65851.

Council of Science Editors:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65851

Victoria University of Wellington

30. Large, Kathleen. Population changes in rattail species on the Chatham Rise.

Degree: 2014, Victoria University of Wellington

URL: http://hdl.handle.net/10063/3446

► The aim of this project was to conduct a stock assessment to determine the population dynamic characteristics of rattail species taken as bycatch in the…
(more)

Subjects/Keywords: Fisheries; Model; Bayesian

Record Details Similar Records

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APA (6^{th} Edition):

Large, K. (2014). Population changes in rattail species on the Chatham Rise. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3446

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

Large, Kathleen. “Population changes in rattail species on the Chatham Rise.” 2014. Masters Thesis, Victoria University of Wellington. Accessed September 21, 2020. http://hdl.handle.net/10063/3446.

MLA Handbook (7^{th} Edition):

Large, Kathleen. “Population changes in rattail species on the Chatham Rise.” 2014. Web. 21 Sep 2020.

Vancouver:

Large K. Population changes in rattail species on the Chatham Rise. [Internet] [Masters thesis]. Victoria University of Wellington; 2014. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10063/3446.

Council of Science Editors:

Large K. Population changes in rattail species on the Chatham Rise. [Masters Thesis]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3446