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You searched for subject:(Bayesian methods). Showing records 1 – 30 of 313 total matches.

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1. 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

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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 August 07, 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. 07 Aug 2020.

Vancouver:

Gu C. Statistical Missing Data Methods with Applications to Health Services Research. [Internet] [Thesis]. Brown University; 2016. [cited 2020 Aug 07]. 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


Queensland University of Technology

2. Donald, Margaret. Using Bayesian methods for the estimation of uncertainty in complex statistical models.

Degree: 2011, Queensland University of Technology

 The research objectives of this thesis were to contribute to Bayesian statistical methodology by contributing to risk assessment statistical methodology, and to spatial and spatio-temporal… (more)

Subjects/Keywords: Bayesian methods; complex statistical models

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APA (6th Edition):

Donald, M. (2011). Using Bayesian methods for the estimation of uncertainty in complex statistical models. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/47132/

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):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Thesis, Queensland University of Technology. Accessed August 07, 2020. https://eprints.qut.edu.au/47132/.

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

MLA Handbook (7th Edition):

Donald, Margaret. “Using Bayesian methods for the estimation of uncertainty in complex statistical models.” 2011. Web. 07 Aug 2020.

Vancouver:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2020 Aug 07]. Available from: https://eprints.qut.edu.au/47132/.

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

Council of Science Editors:

Donald M. Using Bayesian methods for the estimation of uncertainty in complex statistical models. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/47132/

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


University of Illinois – Urbana-Champaign

3. Huang, Xichen. Fast algorithms for Bayesian variable selection.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Variable selection of regression and classification models is an important but challenging problem. There are generally two approaches, one based on penalized likelihood, and the… (more)

Subjects/Keywords: Bayesian variable selection; Variational Bayesian methods; Online learning

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APA (6th Edition):

Huang, X. (2017). Fast algorithms for Bayesian variable selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98201

Chicago Manual of Style (16th Edition):

Huang, Xichen. “Fast algorithms for Bayesian variable selection.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 07, 2020. http://hdl.handle.net/2142/98201.

MLA Handbook (7th Edition):

Huang, Xichen. “Fast algorithms for Bayesian variable selection.” 2017. Web. 07 Aug 2020.

Vancouver:

Huang X. Fast algorithms for Bayesian variable selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2142/98201.

Council of Science Editors:

Huang X. Fast algorithms for Bayesian variable selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98201


North Carolina State University

4. DiCasoli, Carl Matthew. Bayesian Regression Methods for Crossing Survival Curves.

Degree: PhD, Statistics, 2009, North Carolina State University

 In survival data analysis, the proportional hazards (PH), accelerated failure time (AFT), and proportional odds (PO) models are commonly used semiparametric models for the comparison… (more)

Subjects/Keywords: variational methods; Bayesian inference; survival analysis

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APA (6th Edition):

DiCasoli, C. M. (2009). Bayesian Regression Methods for Crossing Survival Curves. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4743

Chicago Manual of Style (16th Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Doctoral Dissertation, North Carolina State University. Accessed August 07, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4743.

MLA Handbook (7th Edition):

DiCasoli, Carl Matthew. “Bayesian Regression Methods for Crossing Survival Curves.” 2009. Web. 07 Aug 2020.

Vancouver:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2020 Aug 07]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4743.

Council of Science Editors:

DiCasoli CM. Bayesian Regression Methods for Crossing Survival Curves. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4743


University of Cambridge

5. Peeling, Paul. Bayesian methods in music modelling.

Degree: PhD, 2011, University of Cambridge

 This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical… (more)

Subjects/Keywords: Music modelling; Signal processing; Bayesian methods

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APA (6th Edition):

Peeling, P. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed August 07, 2020. http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

MLA Handbook (7th Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Web. 07 Aug 2020.

Vancouver:

Peeling P. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Aug 07]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

Council of Science Editors:

Peeling P. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg


University of New South Wales

6. Gan, Quan. Topics in econometrics.

Degree: Economics, 2013, University of New South Wales

 Multivariate data modelling is an important and growing area of econometrics. There are two general approaches of modelling multivariate data: 1) modelling margins and copula… (more)

Subjects/Keywords: Skew-t Distribution; Bayesian methods; Factor models

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APA (6th Edition):

Gan, Q. (2013). Topics in econometrics. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Doctoral Dissertation, University of New South Wales. Accessed August 07, 2020. http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true.

MLA Handbook (7th Edition):

Gan, Quan. “Topics in econometrics.” 2013. Web. 07 Aug 2020.

Vancouver:

Gan Q. Topics in econometrics. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Aug 07]. Available from: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true.

Council of Science Editors:

Gan Q. Topics in econometrics. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true


University of Plymouth

7. Al-Kaabawi, Zainab A. A. Bayesian hierarchical models for linear networks.

Degree: PhD, 2018, University of Plymouth

 A motorway network is handled as a linear network. The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents… (more)

Subjects/Keywords: Hierarchical models; Bayesian methods; Linear networks

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APA (6th Edition):

Al-Kaabawi, Z. A. A. (2018). Bayesian hierarchical models for linear networks. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/12829

Chicago Manual of Style (16th Edition):

Al-Kaabawi, Zainab A A. “Bayesian hierarchical models for linear networks.” 2018. Doctoral Dissertation, University of Plymouth. Accessed August 07, 2020. http://hdl.handle.net/10026.1/12829.

MLA Handbook (7th Edition):

Al-Kaabawi, Zainab A A. “Bayesian hierarchical models for linear networks.” 2018. Web. 07 Aug 2020.

Vancouver:

Al-Kaabawi ZAA. Bayesian hierarchical models for linear networks. [Internet] [Doctoral dissertation]. University of Plymouth; 2018. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10026.1/12829.

Council of Science Editors:

Al-Kaabawi ZAA. Bayesian hierarchical models for linear networks. [Doctoral Dissertation]. University of Plymouth; 2018. Available from: http://hdl.handle.net/10026.1/12829


University of Edinburgh

8. Caldararu, Silvia. Understanding and predicting global leaf phenology using satellite observations of vegetation.

Degree: PhD, 2013, University of Edinburgh

 Leaf phenology refers to the timing of leaf life cycle events and is essential to our understanding of the earth system as it impacts the… (more)

Subjects/Keywords: 578.4; phenology; global vegetation models; Bayesian methods

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APA (6th Edition):

Caldararu, S. (2013). Understanding and predicting global leaf phenology using satellite observations of vegetation. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/7627

Chicago Manual of Style (16th Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Doctoral Dissertation, University of Edinburgh. Accessed August 07, 2020. http://hdl.handle.net/1842/7627.

MLA Handbook (7th Edition):

Caldararu, Silvia. “Understanding and predicting global leaf phenology using satellite observations of vegetation.” 2013. Web. 07 Aug 2020.

Vancouver:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2013. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1842/7627.

Council of Science Editors:

Caldararu S. Understanding and predicting global leaf phenology using satellite observations of vegetation. [Doctoral Dissertation]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/7627


University of Cambridge

9. Peeling, Paul Halliday. Bayesian methods in music modelling.

Degree: PhD, 2011, University of Cambridge

 This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical… (more)

Subjects/Keywords: 780; Music modelling; Signal processing; Bayesian methods

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APA (6th Edition):

Peeling, P. H. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

Chicago Manual of Style (16th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed August 07, 2020. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7th Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 07 Aug 2020.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Aug 07]. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

Peeling PH. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860


Harvard University

10. Meyer, Mark John. Function-on-Function Regression with Public Health Applications.

Degree: PhD, Biostatistics, 2014, Harvard University

 Medical research currently involves the collection of large and complex data. One such type of data is functional data where the unit of measurement is… (more)

Subjects/Keywords: Biostatistics; Bayesian Inference; Bayesian Methods; Functional Data Analysis; Function-on-Function Regression; Wavelet Regression

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APA (6th Edition):

Meyer, M. J. (2014). Function-on-Function Regression with Public Health Applications. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

Chicago Manual of Style (16th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Doctoral Dissertation, Harvard University. Accessed August 07, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

MLA Handbook (7th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Web. 07 Aug 2020.

Vancouver:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2020 Aug 07]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

Council of Science Editors:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591


INP Toulouse

11. Zhao, Ningning. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.

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

L'imagerie ultrasonore est une modalité d'acquisition privilégiée en imagerie médicale en raison de son innocuité, sa simplicité d'utilisation et son coût modéré d'utilisation. Néanmoins, la… (more)

Subjects/Keywords: Segmentation; Super-résolution; Bayesian; Optimisation; Ultrasound images; Deconvolution; Segmentation; Super-resolution; Bayesian methods; Optimization

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APA (6th Edition):

Zhao, N. (2016). Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2016INPT0090

Chicago Manual of Style (16th Edition):

Zhao, Ningning. “Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.” 2016. Doctoral Dissertation, INP Toulouse. Accessed August 07, 2020. http://www.theses.fr/2016INPT0090.

MLA Handbook (7th Edition):

Zhao, Ningning. “Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution.” 2016. Web. 07 Aug 2020.

Vancouver:

Zhao N. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. [Internet] [Doctoral dissertation]. INP Toulouse; 2016. [cited 2020 Aug 07]. Available from: http://www.theses.fr/2016INPT0090.

Council of Science Editors:

Zhao N. Inverse problems in medical ultrasound images - applications to image deconvolution, segmentation and super-resolution : Problèmes inverses en imagerie ultrasonore - applications déconvolution image, ségmentation et super résolution. [Doctoral Dissertation]. INP Toulouse; 2016. Available from: http://www.theses.fr/2016INPT0090


University of Edinburgh

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

Degree: PhD, 2018, University of Edinburgh

 In most eukaryotes, alternative splicing is an important regulatory mechanism of gene expression that results in a single gene coding for multiple protein isoforms, thus… (more)

Subjects/Keywords: alternative splicing; Bayesian methods; DICEseq; isoform quantification; Bayesian Regression for Isoform Estimation; scRNA-seq

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APA (6th Edition):

Huang, Y. (2018). Structured Bayesian methods for splicing analysis in RNA-seq data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/31328

Chicago Manual of Style (16th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed August 07, 2020. http://hdl.handle.net/1842/31328.

MLA Handbook (7th Edition):

Huang, Yuanhua. “Structured Bayesian methods for splicing analysis in RNA-seq data.” 2018. Web. 07 Aug 2020.

Vancouver:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1842/31328.

Council of Science Editors:

Huang Y. Structured Bayesian methods for splicing analysis in RNA-seq data. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/31328


University of Toronto

13. Deshwar, Amit Gulab. Tumor Gene Expression Purification Using Infinite Mixture Topic Models.

Degree: 2013, University of Toronto

There is significant interest in using gene expression measurements to aid in the personalization of medical treatment. The presence of significant normal tissue contamination in… (more)

Subjects/Keywords: Bayesian methods; Gene expression purficiation; Bayesian Nonparametric; Topic models; 0984; 0800; 0544

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APA (6th Edition):

Deshwar, A. G. (2013). Tumor Gene Expression Purification Using Infinite Mixture Topic Models. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/35597

Chicago Manual of Style (16th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Masters Thesis, University of Toronto. Accessed August 07, 2020. http://hdl.handle.net/1807/35597.

MLA Handbook (7th Edition):

Deshwar, Amit Gulab. “Tumor Gene Expression Purification Using Infinite Mixture Topic Models.” 2013. Web. 07 Aug 2020.

Vancouver:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1807/35597.

Council of Science Editors:

Deshwar AG. Tumor Gene Expression Purification Using Infinite Mixture Topic Models. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/35597


University of Helsinki

14. Jälkö, Joonas. Privacy-aware variational inference.

Degree: Department of Mathematics and Statistics; Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten, Institutionen för matematik och statistik, 2017, University of Helsinki

 This thesis focuses on privacy-preserving statistical inference. We use a probabilistic point of view of privacy called differential privacy. Differential privacy ensures that replacing one… (more)

Subjects/Keywords: Differential privacy; Variational Bayesian methods; Machine learning; Bayesian inference; Tillämpad matematik; Applied Mathematics; Soveltava matematiikka

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APA (6th Edition):

Jälkö, J. (2017). Privacy-aware variational inference. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/228858

Chicago Manual of Style (16th Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Masters Thesis, University of Helsinki. Accessed August 07, 2020. http://hdl.handle.net/10138/228858.

MLA Handbook (7th Edition):

Jälkö, Joonas. “Privacy-aware variational inference.” 2017. Web. 07 Aug 2020.

Vancouver:

Jälkö J. Privacy-aware variational inference. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10138/228858.

Council of Science Editors:

Jälkö J. Privacy-aware variational inference. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/228858


Brigham Young University

15. Pyper, Jordan Daniel. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.

Degree: MS, 2012, Brigham Young University

 A child's parents are the primary source of knowledge and learned behaviors for developing children, and the benefits or repercussions of certain parental practices can… (more)

Subjects/Keywords: latent variables; manifest variables; structural equation modeling; Bayesian methods; Frequentist methods; Statistics and Probability

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APA (6th Edition):

Pyper, J. D. (2012). Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

Chicago Manual of Style (16th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Masters Thesis, Brigham Young University. Accessed August 07, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

MLA Handbook (7th Edition):

Pyper, Jordan Daniel. “Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling.” 2012. Web. 07 Aug 2020.

Vancouver:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2020 Aug 07]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd.

Council of Science Editors:

Pyper JD. Estimation of the Effects of Parental Measures on Child Aggression Using Structural Equation Modeling. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd


University of Manchester

16. Rynn, James Andrew John. On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems.

Degree: 2020, University of Manchester

 In this thesis, we are interested in the efficient numerical solution of PDE-based Bayesian inverse problems, where the aim is to approximate the posterior distribution… (more)

Subjects/Keywords: Uncertainty Quantification; Bayesian Inverse Problems; Finite Element Methods; Stochastic Galerkin Finite Element Methods; Surrogate

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APA (6th Edition):

Rynn, J. A. J. (2020). On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323604

Chicago Manual of Style (16th Edition):

Rynn, James Andrew John. “On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems.” 2020. Doctoral Dissertation, University of Manchester. Accessed August 07, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323604.

MLA Handbook (7th Edition):

Rynn, James Andrew John. “On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems.” 2020. Web. 07 Aug 2020.

Vancouver:

Rynn JAJ. On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2020 Aug 07]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323604.

Council of Science Editors:

Rynn JAJ. On the Use of a Stochastic Galerkin Surrogate to Accelerate the Solution of PDE-Based Bayesian Inverse Problems. [Doctoral Dissertation]. University of Manchester; 2020. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323604


University of Manchester

17. Rynn, James. On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems.

Degree: PhD, 2020, University of Manchester

 In this thesis, we are interested in the efficient numerical solution of PDE-based Bayesian inverse problems, where the aim is to approximate the posterior distribution… (more)

Subjects/Keywords: Finite Element Methods; Surrogate; Uncertainty Quantification; Bayesian Inverse Problems; Stochastic Galerkin Finite Element Methods

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

APA (6th Edition):

Rynn, J. (2020). On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/on-the-use-of-a-stochastic-galerkin-surrogate-to-accelerate-the-solution-of-pdebased-bayesian-inverse-problems(52f58b43-8830-4aa4-9f80-176328a31d6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799506

Chicago Manual of Style (16th Edition):

Rynn, James. “On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems.” 2020. Doctoral Dissertation, University of Manchester. Accessed August 07, 2020. https://www.research.manchester.ac.uk/portal/en/theses/on-the-use-of-a-stochastic-galerkin-surrogate-to-accelerate-the-solution-of-pdebased-bayesian-inverse-problems(52f58b43-8830-4aa4-9f80-176328a31d6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799506.

MLA Handbook (7th Edition):

Rynn, James. “On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems.” 2020. Web. 07 Aug 2020.

Vancouver:

Rynn J. On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2020 Aug 07]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/on-the-use-of-a-stochastic-galerkin-surrogate-to-accelerate-the-solution-of-pdebased-bayesian-inverse-problems(52f58b43-8830-4aa4-9f80-176328a31d6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799506.

Council of Science Editors:

Rynn J. On the use of a stochastic Galerkin surrogate to accelerate the solution of PDE-based Bayesian inverse problems. [Doctoral Dissertation]. University of Manchester; 2020. Available from: https://www.research.manchester.ac.uk/portal/en/theses/on-the-use-of-a-stochastic-galerkin-surrogate-to-accelerate-the-solution-of-pdebased-bayesian-inverse-problems(52f58b43-8830-4aa4-9f80-176328a31d6f).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799506


UCLA

18. Nicolò, Giovanni. Essay on Macroeconomics and Expectations.

Degree: Economics, 2018, UCLA

 My dissertation focuses on the interactions between the conduct of U.S. monetary policy and the expectations formed by households, firms and public institutions about the… (more)

Subjects/Keywords: Economics; Bayesian Methods; Business Cycles; Expectations; Indeterminacy; Monetary Policy; Rational Expectations

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APA (6th Edition):

Nicolò, G. (2018). Essay on Macroeconomics and Expectations. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/8827f761

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):

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Thesis, UCLA. Accessed August 07, 2020. http://www.escholarship.org/uc/item/8827f761.

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

MLA Handbook (7th Edition):

Nicolò, Giovanni. “Essay on Macroeconomics and Expectations.” 2018. Web. 07 Aug 2020.

Vancouver:

Nicolò G. Essay on Macroeconomics and Expectations. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Aug 07]. Available from: http://www.escholarship.org/uc/item/8827f761.

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

Council of Science Editors:

Nicolò G. Essay on Macroeconomics and Expectations. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/8827f761

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


Penn State University

19. Olson, Roman. WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION.

Degree: MS, Geoscience, 2010, Penn State University

 Future climate model projections are deeply uncertain. One key driver of this uncertainty if the uncertainty in model parameters, such as climate sensitivity. Recent studies… (more)

Subjects/Keywords: Climate sensitivity; Bayesian methods; climate models; ocean diffusivity; climate change

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

APA (6th Edition):

Olson, R. (2010). WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10658

Chicago Manual of Style (16th Edition):

Olson, Roman. “WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION.” 2010. Masters Thesis, Penn State University. Accessed August 07, 2020. https://etda.libraries.psu.edu/catalog/10658.

MLA Handbook (7th Edition):

Olson, Roman. “WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION.” 2010. Web. 07 Aug 2020.

Vancouver:

Olson R. WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2020 Aug 07]. Available from: https://etda.libraries.psu.edu/catalog/10658.

Council of Science Editors:

Olson R. WHAT IS THE SKILL OF CLIMATE PARAMETER ESTIMATION. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10658


Penn State University

20. LeBaron, David. Essays in Political Marketing.

Degree: PhD, Business Administration, 2008, Penn State University

 Political marketing sits at the nexus of two disciplines, political science and marketing, but is not entirely accepted by either. The present research looks at… (more)

Subjects/Keywords: latent class analysis; Bayesian methods; binomial probit; political marketing

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

APA (6th Edition):

LeBaron, D. (2008). Essays in Political Marketing. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9189

Chicago Manual of Style (16th Edition):

LeBaron, David. “Essays in Political Marketing.” 2008. Doctoral Dissertation, Penn State University. Accessed August 07, 2020. https://etda.libraries.psu.edu/catalog/9189.

MLA Handbook (7th Edition):

LeBaron, David. “Essays in Political Marketing.” 2008. Web. 07 Aug 2020.

Vancouver:

LeBaron D. Essays in Political Marketing. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2020 Aug 07]. Available from: https://etda.libraries.psu.edu/catalog/9189.

Council of Science Editors:

LeBaron D. Essays in Political Marketing. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/9189

21. Zhuang, Zhihe. Modeling and projection of respondent driven network samples.

Degree: MS, Department of Statistics, 2018, Kansas State University

 The term network has become part of our everyday vocabulary. The more popular are perhaps the social ones, but the concept also includes business partnerships,… (more)

Subjects/Keywords: Networks; Respondent Driven Sampling; Nonparametric Bayesian; Sampling Methods; Stochastic Blockmodel

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

APA (6th Edition):

Zhuang, Z. (2018). Modeling and projection of respondent driven network samples. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/39157

Chicago Manual of Style (16th Edition):

Zhuang, Zhihe. “Modeling and projection of respondent driven network samples.” 2018. Masters Thesis, Kansas State University. Accessed August 07, 2020. http://hdl.handle.net/2097/39157.

MLA Handbook (7th Edition):

Zhuang, Zhihe. “Modeling and projection of respondent driven network samples.” 2018. Web. 07 Aug 2020.

Vancouver:

Zhuang Z. Modeling and projection of respondent driven network samples. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2097/39157.

Council of Science Editors:

Zhuang Z. Modeling and projection of respondent driven network samples. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39157

22. Mazin, Suleimy Cristina. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.

Degree: Mestrado, Saúde na Comunidade, 2009, University of São Paulo

MAZIN, S. C.Metodos Bayesianos em Metanalise: Especicac~ao da Distribuic~ao a Priori para a Variabilidade entre os Estudos. 2009. 175f. Dissertac~ao (mestrado) - Faculdade de Medicina… (more)

Subjects/Keywords: Bayesian Methods.; Heterogeneidade; Heterogeneity; Meta-analysis; Metanalise; Metodos bayesianos.

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APA (6th Edition):

Mazin, S. C. (2009). Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;

Chicago Manual of Style (16th Edition):

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Masters Thesis, University of São Paulo. Accessed August 07, 2020. http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

MLA Handbook (7th Edition):

Mazin, Suleimy Cristina. “Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos.” 2009. Web. 07 Aug 2020.

Vancouver:

Mazin SC. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2020 Aug 07]. Available from: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;.

Council of Science Editors:

Mazin SC. Métodos bayesianos em metanálise: especificação da distribuição a priori para a variabilidade entre os estudos. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;


University of Alberta

23. Tulsyan, Aditya. State Inference and Bayesian Identification of Non-linear State-space Models.

Degree: PhD, Department of Chemical and Materials Engineering, 2013, University of Alberta

 State inference and identification of discrete-time, non-linear, stochastic state-space models (SSMs) are considered here. A novel sequential Monte Carlo (SMC) based Bayesian method for simultaneous… (more)

Subjects/Keywords: State inference; Identification; Bayesian methods; State-space models

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APA (6th Edition):

Tulsyan, A. (2013). State Inference and Bayesian Identification of Non-linear State-space Models. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b8515n67q

Chicago Manual of Style (16th Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Doctoral Dissertation, University of Alberta. Accessed August 07, 2020. https://era.library.ualberta.ca/files/b8515n67q.

MLA Handbook (7th Edition):

Tulsyan, Aditya. “State Inference and Bayesian Identification of Non-linear State-space Models.” 2013. Web. 07 Aug 2020.

Vancouver:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2020 Aug 07]. Available from: https://era.library.ualberta.ca/files/b8515n67q.

Council of Science Editors:

Tulsyan A. State Inference and Bayesian Identification of Non-linear State-space Models. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/b8515n67q


Texas A&M University

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

Degree: 2017, Texas A&M University

 Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its… (more)

Subjects/Keywords: Heterogeneity; Bayesian methods; Metropolis Hastings; Kernel Density Estimation

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APA (6th Edition):

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

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):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Thesis, Texas A&M University. Accessed August 07, 2020. http://hdl.handle.net/1969.1/161403.

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

MLA Handbook (7th Edition):

Katiyar, Ashish. “Determination of Cancer Tissue Heterogeneity.” 2017. Web. 07 Aug 2020.

Vancouver:

Katiyar A. Determination of Cancer Tissue Heterogeneity. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1969.1/161403.

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

Council of Science Editors:

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

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


Boston University

25. Wu, Joseph Moon Wai. Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials.

Degree: PhD, Biostatistics, 2014, Boston University

 As most adaptive clinical trial designs are implemented in stages, well-understood methods of sequential trial monitoring are needed. In the frequentist paradigm, examples of sequential… (more)

Subjects/Keywords: Biostatistics; Bayesian; Biosimilarity; Non-inferiority; Adaptive methods; Clinical trials; Dose response

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APA (6th Edition):

Wu, J. M. W. (2014). Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15265

Chicago Manual of Style (16th Edition):

Wu, Joseph Moon Wai. “Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials.” 2014. Doctoral Dissertation, Boston University. Accessed August 07, 2020. http://hdl.handle.net/2144/15265.

MLA Handbook (7th Edition):

Wu, Joseph Moon Wai. “Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials.” 2014. Web. 07 Aug 2020.

Vancouver:

Wu JMW. Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2144/15265.

Council of Science Editors:

Wu JMW. Adaptive methodologies in multi-arm dose response and biosimilarity clinical trials. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/15265


Virginia Tech

26. Torrence, Robert Billington. Bayesian Parameter Estimation on Three Models of Influenza.

Degree: MS, Mathematics, 2017, Virginia Tech

 Mathematical models of viral infections have been informing virology research for years. Estimating parameter values for these models can lead to understanding of biological values.… (more)

Subjects/Keywords: Influenza; Bayesian Inference; Parameter Estimation; Mathematical Biology; MCMC Methods; Metropolis Algorithm

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APA (6th Edition):

Torrence, R. B. (2017). Bayesian Parameter Estimation on Three Models of Influenza. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77611

Chicago Manual of Style (16th Edition):

Torrence, Robert Billington. “Bayesian Parameter Estimation on Three Models of Influenza.” 2017. Masters Thesis, Virginia Tech. Accessed August 07, 2020. http://hdl.handle.net/10919/77611.

MLA Handbook (7th Edition):

Torrence, Robert Billington. “Bayesian Parameter Estimation on Three Models of Influenza.” 2017. Web. 07 Aug 2020.

Vancouver:

Torrence RB. Bayesian Parameter Estimation on Three Models of Influenza. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10919/77611.

Council of Science Editors:

Torrence RB. Bayesian Parameter Estimation on Three Models of Influenza. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/77611


Virginia Tech

27. Han, Chao. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.

Degree: PhD, Statistics, 2012, Virginia Tech

 In light of advancements made in data collection techniques over the past two decades, data mining has become common practice to summarize large, high dimensional… (more)

Subjects/Keywords: Visual Analytics; Bayesian Methods; Dimension Reduction; Human-computer Interaction

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APA (6th Edition):

Han, C. (2012). Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19210

Chicago Manual of Style (16th Edition):

Han, Chao. “Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.” 2012. Doctoral Dissertation, Virginia Tech. Accessed August 07, 2020. http://hdl.handle.net/10919/19210.

MLA Handbook (7th Edition):

Han, Chao. “Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data.” 2012. Web. 07 Aug 2020.

Vancouver:

Han C. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10919/19210.

Council of Science Editors:

Han C. Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/19210


University of Adelaide

28. Walker, James Nicholas. Inference methods for First Few Hundred Studies.

Degree: 2016, University of Adelaide

 Infectious diseases are a threat to the health of populations around the world. During the early stages of a novel infectious disease outbreak, intensive data… (more)

Subjects/Keywords: Bayesian Inference methods; Markovian household epidemic model; path integral

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APA (6th Edition):

Walker, J. N. (2016). Inference methods for First Few Hundred Studies. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/99525

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):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Thesis, University of Adelaide. Accessed August 07, 2020. http://hdl.handle.net/2440/99525.

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

MLA Handbook (7th Edition):

Walker, James Nicholas. “Inference methods for First Few Hundred Studies.” 2016. Web. 07 Aug 2020.

Vancouver:

Walker JN. Inference methods for First Few Hundred Studies. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2440/99525.

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

Council of Science Editors:

Walker JN. Inference methods for First Few Hundred Studies. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/99525

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


Brigham Young University

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

Degree: MS, 2012, Brigham Young University

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Masters Thesis, Brigham Young University. Accessed August 07, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

MLA Handbook (7th Edition):

Shepherd, Brent A. “Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents.” 2012. Web. 07 Aug 2020.

Vancouver:

Shepherd BA. Predicting Maximal Oxygen Consumption (VO2max) Levels in Adolescents. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2020 Aug 07]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3996&context=etd.

Council of Science Editors:

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


Brigham Young University

30. Christensen, Jonathan Casey. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.

Degree: MS, 2012, Brigham Young University

  We describe a method to estimate pollution profiles and contribution levels for distinct prominent pollution sources in a region based on daily pollutant concentration… (more)

Subjects/Keywords: Pollution Source Apportionment; Bayesian Methods; Multivariate Receptor Modeling; Statistics and Probability

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APA (6th Edition):

Christensen, J. C. (2012). Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4004&context=etd

Chicago Manual of Style (16th Edition):

Christensen, Jonathan Casey. “Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.” 2012. Masters Thesis, Brigham Young University. Accessed August 07, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4004&context=etd.

MLA Handbook (7th Edition):

Christensen, Jonathan Casey. “Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements.” 2012. Web. 07 Aug 2020.

Vancouver:

Christensen JC. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. [Internet] [Masters thesis]. Brigham Young University; 2012. [cited 2020 Aug 07]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4004&context=etd.

Council of Science Editors:

Christensen JC. Bayesian Pollution Source Apportionment Incorporating Multiple Simultaneous Measurements. [Masters Thesis]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4004&context=etd

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