Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Bayesian). Showing records 1 – 30 of 5274 total matches.

[1] [2] [3] [4] [5] … [176]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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/

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

Chicago Manual of Style (16th Edition):

Gu, 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/.

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

MLA Handbook (7th 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/.

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

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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/

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

Chicago Manual of Style (16th Edition):

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/.

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

MLA Handbook (7th 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/.

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

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

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.

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

MLA Handbook (7th 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.

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

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

 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… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

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.

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

MLA Handbook (7th 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.

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

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

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.

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

MLA Handbook (7th 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.

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

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

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.

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

MLA Handbook (7th 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.

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

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

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.

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

MLA Handbook (7th 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.

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

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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

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

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

MLA Handbook (7th 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/.

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

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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/

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

Chicago Manual of Style (16th Edition):

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/.

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

MLA Handbook (7th 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/.

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

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

 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 DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th 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 (16th 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 (7th 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

[1] [2] [3] [4] [5] … [176]

.