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- 2001 – 2005 (23)

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- Statistics (18)
- Biostatistics (13)

Degrees

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- Docteur es (37)
- MS (16)
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1.
Gu, Chenyang.
Statistical Missing Data *Methods* with Applications to Health
Services Research.

Degree: Biostatistics, 2016, Brown University

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

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

Subjects/Keywords: Bayesian methods

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

APA (6^{th} Edition):

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

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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 (7^{th} 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/

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

URL: https://eprints.qut.edu.au/47132/

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

APA (6^{th} 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/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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/.

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/

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

URL: http://hdl.handle.net/2142/98201

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://www.lib.ncsu.edu/resolver/1840.16/4743

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 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

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://handle.unsw.edu.au/1959.4/53308 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12003/SOURCE02?view=true

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10026.1/12829

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1842/7627

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.theses.fr/2016INPT0090

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1842/31328

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1807/35597

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10138/228858

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4240&context=etd

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323604

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 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

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/8827f761

► 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

Record Details Similar Records

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APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

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

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://etda.libraries.psu.edu/catalog/10658

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/9189

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/39157

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.teses.usp.br/teses/disponiveis/17/17139/tde-11122009-104426/ ;

►

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.

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://era.library.ualberta.ca/files/b8515n67q

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1969.1/161403

► 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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2144/15265

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/77611

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10919/19210

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2440/99525

► 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

Record Details Similar Records

❌

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Brigham Young University

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

Degree: MS, 2012, Brigham Young University

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

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

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

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

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

MLA Handbook (7^{th} Edition):

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

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4004&context=etd

► We describe a method to estimate pollution profiles and contribution levels for distinct prominent pollution sources in a region based on daily pollutant concentration…
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Subjects/Keywords: Pollution Source Apportionment; Bayesian Methods; Multivariate Receptor Modeling; Statistics and Probability

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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