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Duke University

1.
VanDerwerken, Douglas.
Monitoring and Improving *Markov* *Chain* *Monte* *Carlo* *Convergence* by Partitioning
.

Degree: 2015, Duke University

URL: http://hdl.handle.net/10161/9876

► Since Bayes' Theorem was first published in 1762, many have argued for the Bayesian paradigm on purely philosophical grounds. For much of this time,…
(more)

Subjects/Keywords: Statistics; Bayesian statistics; Convergence diagnostics; Markov chain Monte Carlo; Parallel MCMC

Record Details Similar Records

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

APA (6^{th} Edition):

VanDerwerken, D. (2015). Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/9876

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):

VanDerwerken, Douglas. “Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning .” 2015. Thesis, Duke University. Accessed November 18, 2019. http://hdl.handle.net/10161/9876.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

VanDerwerken, Douglas. “Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning .” 2015. Web. 18 Nov 2019.

Vancouver:

VanDerwerken D. Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning . [Internet] [Thesis]. Duke University; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10161/9876.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

VanDerwerken D. Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning . [Thesis]. Duke University; 2015. Available from: http://hdl.handle.net/10161/9876

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

2.
Olsen, Andrew Nolan.
When Infinity is Too Long to Wait: On the *Convergence* of
*Markov* *Chain* *Monte* *Carlo* Methods.

Degree: PhD, Statistics, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406

► *Markov* chains are an incredibly powerful tool for statisticians and other practitioners. They allow for random draws, though autocorrelated, to be obtained from a vast…
(more)

Subjects/Keywords: Statistics; Markov chain Monte Carlo convergence; Markov chain Monte Carlo standard errors; geometric ergodicity; scale-usage heterogeneity

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

APA (6^{th} Edition):

Olsen, A. N. (2015). When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406

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

Olsen, Andrew Nolan. “When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.” 2015. Doctoral Dissertation, The Ohio State University. Accessed November 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406.

MLA Handbook (7^{th} Edition):

Olsen, Andrew Nolan. “When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.” 2015. Web. 18 Nov 2019.

Vancouver:

Olsen AN. When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Nov 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406.

Council of Science Editors:

Olsen AN. When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406

University of Southern California

3.
Aslam, Kamran.
A stochastic *Markov* *chain* approach for tennis: *Monte* *Carlo*
simulation and modeling.

Degree: PhD, Aerospace Engineering, 2012, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371

► This dissertation describes the computational formulation of probability density functions (pdfs) that facilitate head-to-head match simulations in tennis along with ranking systems developed from their…
(more)

Subjects/Keywords: monte carlo; markov chain; tennis

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APA (6^{th} Edition):

Aslam, K. (2012). A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371

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

Aslam, Kamran. “A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371.

MLA Handbook (7^{th} Edition):

Aslam, Kamran. “A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling.” 2012. Web. 18 Nov 2019.

Vancouver:

Aslam K. A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371.

Council of Science Editors:

Aslam K. A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371

University of Minnesota

4. Johnson, Alicia A. Geometric ergodicity of Gibbs samplers.

Degree: PhD, Statistics, 2009, University of Minnesota

URL: http://purl.umn.edu/53661

► Due to a demand for reliable methods for exploring intractable probability distributions, the popularity of *Markov* *chain* *Monte* *Carlo* (MCMC) techniques continues to grow. In…
(more)

Subjects/Keywords: Convergence; Drift Conditions; Geometric Ergodicity; Gibbs Samplers; Markov chain Monte Carlo; Statistics

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APA (6^{th} Edition):

Johnson, A. A. (2009). Geometric ergodicity of Gibbs samplers. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/53661

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

Johnson, Alicia A. “Geometric ergodicity of Gibbs samplers.” 2009. Doctoral Dissertation, University of Minnesota. Accessed November 18, 2019. http://purl.umn.edu/53661.

MLA Handbook (7^{th} Edition):

Johnson, Alicia A. “Geometric ergodicity of Gibbs samplers.” 2009. Web. 18 Nov 2019.

Vancouver:

Johnson AA. Geometric ergodicity of Gibbs samplers. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 Nov 18]. Available from: http://purl.umn.edu/53661.

Council of Science Editors:

Johnson AA. Geometric ergodicity of Gibbs samplers. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/53661

5. Auranen, Toni. Computational Methods for Bayesian Estimation of Neuromagnetic Sources.

Degree: 2007, Helsinki University of Technology

URL: http://lib.tkk.fi/Diss/2007/isbn9789512289547/

►

The electromagnetic inverse problem in human brain research consists of determining underlying source currents in the brain based on measurements outside the head. Solution to… (more)

Subjects/Keywords: inverse problem; magnetoencephalography; Markov chain Monte Carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Auranen, T. (2007). Computational Methods for Bayesian Estimation of Neuromagnetic Sources. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2007/isbn9789512289547/

Not specified: Masters Thesis or Doctoral Dissertation

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

Auranen, Toni. “Computational Methods for Bayesian Estimation of Neuromagnetic Sources.” 2007. Thesis, Helsinki University of Technology. Accessed November 18, 2019. http://lib.tkk.fi/Diss/2007/isbn9789512289547/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Auranen, Toni. “Computational Methods for Bayesian Estimation of Neuromagnetic Sources.” 2007. Web. 18 Nov 2019.

Vancouver:

Auranen T. Computational Methods for Bayesian Estimation of Neuromagnetic Sources. [Internet] [Thesis]. Helsinki University of Technology; 2007. [cited 2019 Nov 18]. Available from: http://lib.tkk.fi/Diss/2007/isbn9789512289547/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Auranen T. Computational Methods for Bayesian Estimation of Neuromagnetic Sources. [Thesis]. Helsinki University of Technology; 2007. Available from: http://lib.tkk.fi/Diss/2007/isbn9789512289547/

Not specified: Masters Thesis or Doctoral Dissertation

University of Ontario Institute of Technology

6. McDougall, Robin. Robotic radiation mapping using modelling and probabilistic analysis of sparse data.

Degree: 2015, University of Ontario Institute of Technology

URL: http://hdl.handle.net/10155/552

► An approach for generating radiation intensity maps, comprised of a mobile robotic platform and an integrated radiation model, is presented, and its ability to generate…
(more)

Subjects/Keywords: Radiation mapping; Robotics; Markov Chain Monte Carlo

Record Details Similar Records

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APA (6^{th} Edition):

McDougall, R. (2015). Robotic radiation mapping using modelling and probabilistic analysis of sparse data. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/552

Not specified: Masters Thesis or Doctoral Dissertation

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

McDougall, Robin. “Robotic radiation mapping using modelling and probabilistic analysis of sparse data.” 2015. Thesis, University of Ontario Institute of Technology. Accessed November 18, 2019. http://hdl.handle.net/10155/552.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

McDougall, Robin. “Robotic radiation mapping using modelling and probabilistic analysis of sparse data.” 2015. Web. 18 Nov 2019.

Vancouver:

McDougall R. Robotic radiation mapping using modelling and probabilistic analysis of sparse data. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10155/552.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McDougall R. Robotic radiation mapping using modelling and probabilistic analysis of sparse data. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/552

Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

7.
Habib, Shahnoor.
A Combined Three-Phase Signal Extraction of the Sudbury
Neutrino Observatory Data Using *Markov* *Chain* *Monte* *Carlo*
Technique.

Degree: PhD, Department of Physics, 2011, University of Alberta

URL: https://era.library.ualberta.ca/files/cvx021f21f

► \begin{Large} \truedoublespacing \begin{center} bf{Abstract} \end{center} Neutrino physics has entered an era of precision, after proving that the Standard Solar Model is a viable theory and…
(more)

Subjects/Keywords: neutrino physics; Markov Chain Monte Carlo

Record Details Similar Records

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APA (6^{th} Edition):

Habib, S. (2011). A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cvx021f21f

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

Habib, Shahnoor. “A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique.” 2011. Doctoral Dissertation, University of Alberta. Accessed November 18, 2019. https://era.library.ualberta.ca/files/cvx021f21f.

MLA Handbook (7^{th} Edition):

Habib, Shahnoor. “A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique.” 2011. Web. 18 Nov 2019.

Vancouver:

Habib S. A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Nov 18]. Available from: https://era.library.ualberta.ca/files/cvx021f21f.

Council of Science Editors:

Habib S. A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/cvx021f21f

University of Alberta

8. Howard, Christopher William. A search for hep neutrinos with the Sudbury Neutrino Observatory.

Degree: PhD, Department of Physics, 2010, University of Alberta

URL: https://era.library.ualberta.ca/files/v118rd64z

► This thesis focuses on the search for neutrinos from the solar hep reaction using the combined three phases of the Sudbury Neutrino Observatory (SNO) data.…
(more)

Subjects/Keywords: neutrino; solar model; markov chain monte carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Howard, C. W. (2010). A search for hep neutrinos with the Sudbury Neutrino Observatory. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/v118rd64z

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

Howard, Christopher William. “A search for hep neutrinos with the Sudbury Neutrino Observatory.” 2010. Doctoral Dissertation, University of Alberta. Accessed November 18, 2019. https://era.library.ualberta.ca/files/v118rd64z.

MLA Handbook (7^{th} Edition):

Howard, Christopher William. “A search for hep neutrinos with the Sudbury Neutrino Observatory.” 2010. Web. 18 Nov 2019.

Vancouver:

Howard CW. A search for hep neutrinos with the Sudbury Neutrino Observatory. [Internet] [Doctoral dissertation]. University of Alberta; 2010. [cited 2019 Nov 18]. Available from: https://era.library.ualberta.ca/files/v118rd64z.

Council of Science Editors:

Howard CW. A search for hep neutrinos with the Sudbury Neutrino Observatory. [Doctoral Dissertation]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/v118rd64z

Penn State University

9. Tibbits, Matthew McLean. Parallel Multivariate Slice Sampling.

Degree: MS, Statistics, 2009, Penn State University

URL: https://etda.libraries.psu.edu/catalog/9151

► Slice sampling provides an easily implemented method for constructing a *Markov* *chain* *Monte* *Carlo* (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it…
(more)

Subjects/Keywords: Bayesian inference; Markov chain Monte Carlo; Para

Record Details Similar Records

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

APA (6^{th} Edition):

Tibbits, M. M. (2009). Parallel Multivariate Slice Sampling. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9151

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

Tibbits, Matthew McLean. “Parallel Multivariate Slice Sampling.” 2009. Masters Thesis, Penn State University. Accessed November 18, 2019. https://etda.libraries.psu.edu/catalog/9151.

MLA Handbook (7^{th} Edition):

Tibbits, Matthew McLean. “Parallel Multivariate Slice Sampling.” 2009. Web. 18 Nov 2019.

Vancouver:

Tibbits MM. Parallel Multivariate Slice Sampling. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Nov 18]. Available from: https://etda.libraries.psu.edu/catalog/9151.

Council of Science Editors:

Tibbits MM. Parallel Multivariate Slice Sampling. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9151

University of Waterloo

10.
Mathew, Manoj.
The Application of *Markov* *Chain* *Monte* *Carlo* Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models.

Degree: 2013, University of Waterloo

URL: http://hdl.handle.net/10012/7906

► Modeling of chemical engineering systems often necessitates using non-linear models. These models can range in complexity, from a simple analytical equation to a system of…
(more)

Subjects/Keywords: Markov Chain Monte Carlo; Parameter Estimation

Record Details Similar Records

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

APA (6^{th} Edition):

Mathew, M. (2013). The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7906

Not specified: Masters Thesis or Doctoral Dissertation

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

Mathew, Manoj. “The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models.” 2013. Thesis, University of Waterloo. Accessed November 18, 2019. http://hdl.handle.net/10012/7906.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mathew, Manoj. “The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models.” 2013. Web. 18 Nov 2019.

Vancouver:

Mathew M. The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10012/7906.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mathew M. The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7906

Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

11.
Dumont, Michael.
*Markov**chain* *Monte* *Carlo* on the GPU.

Degree: Computer Science (GCCIS), 2011, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/83

► *Markov* chains are a useful tool in statistics that allow us to sample and model a large population of individuals. We can extend this idea…
(more)

Subjects/Keywords: Approximation; GPGPU; GPU; Markov chain; Monte carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Dumont, M. (2011). Markov chain Monte Carlo on the GPU. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/83

Not specified: Masters Thesis or Doctoral Dissertation

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

Dumont, Michael. “Markov chain Monte Carlo on the GPU.” 2011. Thesis, Rochester Institute of Technology. Accessed November 18, 2019. https://scholarworks.rit.edu/theses/83.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dumont, Michael. “Markov chain Monte Carlo on the GPU.” 2011. Web. 18 Nov 2019.

Vancouver:

Dumont M. Markov chain Monte Carlo on the GPU. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Nov 18]. Available from: https://scholarworks.rit.edu/theses/83.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dumont M. Markov chain Monte Carlo on the GPU. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/83

Not specified: Masters Thesis or Doctoral Dissertation

University of Florida

12.
Abrahamsen, Tavis M.
* Convergence* Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N.

Degree: PhD, Statistics, 2016, University of Florida

URL: http://ufdc.ufl.edu/UFE0050341

Subjects/Keywords: bayesian; carlo; chain; convergence; ergodicity; geometric; markov; monte; shrinkage

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Abrahamsen, T. M. (2016). Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050341

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

Abrahamsen, Tavis M. “Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N.” 2016. Doctoral Dissertation, University of Florida. Accessed November 18, 2019. http://ufdc.ufl.edu/UFE0050341.

MLA Handbook (7^{th} Edition):

Abrahamsen, Tavis M. “Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N.” 2016. Web. 18 Nov 2019.

Vancouver:

Abrahamsen TM. Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2019 Nov 18]. Available from: http://ufdc.ufl.edu/UFE0050341.

Council of Science Editors:

Abrahamsen TM. Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with P > N. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050341

University of New South Wales

13. Peters, Gareth William. Advances in approximate Bayesian computation and trans-dimensional sampling methodology.

Degree: Mathematics & Statistics, 2010, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true

► Bayesian statistical models continue to grow in complexity, drivenin part by a few key factors: the massive computational resourcesnow available to statisticians; the substantial gains…
(more)

Subjects/Keywords: Sequential Monte Carlo; Markov Chain Monte Carlo; Approximate Bayesian Computation

Record Details Similar Records

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

APA (6^{th} Edition):

Peters, G. W. (2010). Advances in approximate Bayesian computation and trans-dimensional sampling methodology. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true

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

Peters, Gareth William. “Advances in approximate Bayesian computation and trans-dimensional sampling methodology.” 2010. Doctoral Dissertation, University of New South Wales. Accessed November 18, 2019. http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Peters, Gareth William. “Advances in approximate Bayesian computation and trans-dimensional sampling methodology.” 2010. Web. 18 Nov 2019.

Vancouver:

Peters GW. Advances in approximate Bayesian computation and trans-dimensional sampling methodology. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2019 Nov 18]. Available from: http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true.

Council of Science Editors:

Peters GW. Advances in approximate Bayesian computation and trans-dimensional sampling methodology. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true

University of Edinburgh

14.
Matthews, James.
* Markov* chains for sampling matchings.

Degree: 2008, University of Edinburgh

URL: http://hdl.handle.net/1842/3072

► *Markov* *Chain* *Monte* *Carlo* algorithms are often used to sample combinatorial structures such as matchings and independent sets in graphs. A *Markov* *chain* is defined…
(more)

Subjects/Keywords: 004; Informatics; Computer Science; Markov Chain Monte Carlo algorithm; Markov chain

Record Details Similar Records

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

APA (6^{th} Edition):

Matthews, J. (2008). Markov chains for sampling matchings. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3072

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

Matthews, James. “Markov chains for sampling matchings.” 2008. Doctoral Dissertation, University of Edinburgh. Accessed November 18, 2019. http://hdl.handle.net/1842/3072.

MLA Handbook (7^{th} Edition):

Matthews, James. “Markov chains for sampling matchings.” 2008. Web. 18 Nov 2019.

Vancouver:

Matthews J. Markov chains for sampling matchings. [Internet] [Doctoral dissertation]. University of Edinburgh; 2008. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1842/3072.

Council of Science Editors:

Matthews J. Markov chains for sampling matchings. [Doctoral Dissertation]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/3072

University of Melbourne

15.
Vu, Tuyet Thi Anh.
A Particle *Markov* *Chain* *Monte* *Carlo* algorithm for random finite set based multi-target tracking.

Degree: 2011, University of Melbourne

URL: http://hdl.handle.net/11343/36875

► The multi target tracking (MTT) problem is essentially that of estimating the presence and associated time trajectories of moving objects based on measurements from a…
(more)

Subjects/Keywords: multi-target tracking; Particle Markov Chain Monte Carlo; Markov Chain Monte Carlo; random sets; Sequential Monte Carlo

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

APA (6^{th} Edition):

Vu, T. T. A. (2011). A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/36875

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

Vu, Tuyet Thi Anh. “A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking.” 2011. Doctoral Dissertation, University of Melbourne. Accessed November 18, 2019. http://hdl.handle.net/11343/36875.

MLA Handbook (7^{th} Edition):

Vu, Tuyet Thi Anh. “A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking.” 2011. Web. 18 Nov 2019.

Vancouver:

Vu TTA. A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/11343/36875.

Council of Science Editors:

Vu TTA. A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/36875

16. Santos, Tássio Naia dos. Grafos aleatórios exponenciais.

Degree: Mestrado, Ciência da Computação, 2013, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;

►

Estudamos o comportamento da familia aresta-triangulo de grafos aleatorios exponenciais (ERG) usando metodos de *Monte* *Carlo* baseados em Cadeias de *Markov*. Comparamos contagens de subgrafos…
(more)

Subjects/Keywords: Cadeia de Markov; Combinatória; Combinatorics; Grafos Aleatórios; Markov Chain; Monte Carlo; Monte Carlo; Random Graphs

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

APA (6^{th} Edition):

Santos, T. N. d. (2013). Grafos aleatórios exponenciais. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;

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

Santos, Tássio Naia dos. “Grafos aleatórios exponenciais.” 2013. Masters Thesis, University of São Paulo. Accessed November 18, 2019. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;.

MLA Handbook (7^{th} Edition):

Santos, Tássio Naia dos. “Grafos aleatórios exponenciais.” 2013. Web. 18 Nov 2019.

Vancouver:

Santos TNd. Grafos aleatórios exponenciais. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2019 Nov 18]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;.

Council of Science Editors:

Santos TNd. Grafos aleatórios exponenciais. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;

17.
Helali, Amine.
Vitesse de *convergence* de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The *convergence* rate of the Gibbs sampler for some statistical mechanics models.

Degree: Docteur es, Mathématiques, 2019, Brest; Université de Sfax (Tunisie)

URL: http://www.theses.fr/2019BRES0002

►

Les méthodes de *Monte* *Carlo* par chaines de *Markov* MCMC sont des outils mathématiques utilisés pour simuler des mesures de probabilités π définies sur des…
(more)

Subjects/Keywords: Méthode de Monte Carlo par chaine de Markov; Vitesse de convergence; Échantillonneur de Gibbs; Modèle d'Ising; Modèle de Potts; Systèmes de treillis; Permutation; Markov chain Monte Carlo; Rate of convergence; Gibbs sampler; Ising model; Potts model; Lattice systems; Permutation; 515.24

Record Details Similar Records

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

APA (6^{th} Edition):

Helali, A. (2019). Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The convergence rate of the Gibbs sampler for some statistical mechanics models. (Doctoral Dissertation). Brest; Université de Sfax (Tunisie). Retrieved from http://www.theses.fr/2019BRES0002

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

Helali, Amine. “Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The convergence rate of the Gibbs sampler for some statistical mechanics models.” 2019. Doctoral Dissertation, Brest; Université de Sfax (Tunisie). Accessed November 18, 2019. http://www.theses.fr/2019BRES0002.

MLA Handbook (7^{th} Edition):

Helali, Amine. “Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The convergence rate of the Gibbs sampler for some statistical mechanics models.” 2019. Web. 18 Nov 2019.

Vancouver:

Helali A. Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The convergence rate of the Gibbs sampler for some statistical mechanics models. [Internet] [Doctoral dissertation]. Brest; Université de Sfax (Tunisie); 2019. [cited 2019 Nov 18]. Available from: http://www.theses.fr/2019BRES0002.

Council of Science Editors:

Helali A. Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique : The convergence rate of the Gibbs sampler for some statistical mechanics models. [Doctoral Dissertation]. Brest; Université de Sfax (Tunisie); 2019. Available from: http://www.theses.fr/2019BRES0002

University of North Carolina – Greensboro

18.
Burke, Matthew Joseph.
The development of a *convergence* diagnostic for *Markov* *Chain*
*Monte* *Carlo* estimation.

Degree: 2011, University of North Carolina – Greensboro

URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=8289

► The development and investigation of a *convergence* diagnostic for *Markov* *Chain* *Monte* *Carlo* (MCMC) posterior distributions is presented in this paper. The current method is…
(more)

Subjects/Keywords: Markov processes – Numerical solutions; CUSUM technique; Convergence; Monte Carlo method

Record Details Similar Records

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

APA (6^{th} Edition):

Burke, M. J. (2011). The development of a convergence diagnostic for Markov Chain Monte Carlo estimation. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=8289

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

Burke, Matthew Joseph. “The development of a convergence diagnostic for Markov Chain Monte Carlo estimation.” 2011. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed November 18, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=8289.

MLA Handbook (7^{th} Edition):

Burke, Matthew Joseph. “The development of a convergence diagnostic for Markov Chain Monte Carlo estimation.” 2011. Web. 18 Nov 2019.

Vancouver:

Burke MJ. The development of a convergence diagnostic for Markov Chain Monte Carlo estimation. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2011. [cited 2019 Nov 18]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=8289.

Council of Science Editors:

Burke MJ. The development of a convergence diagnostic for Markov Chain Monte Carlo estimation. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2011. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=8289

University of Edinburgh

19.
Graham, Matthew McKenzie.
Auxiliary variable *Markov* *chain* *Monte* *Carlo* methods.

Degree: PhD, 2018, University of Edinburgh

URL: http://hdl.handle.net/1842/28962

► *Markov* *chain* *Monte* *Carlo* (MCMC) methods are a widely applicable class of algorithms for estimating integrals in statistical inference problems. A common approach in MCMC…
(more)

Subjects/Keywords: probability theory; Markov chain Monte Carlo algorithm; Metropolis–Hastings algorithm; algorithms; Hamiltonian Monte Carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Graham, M. M. (2018). Auxiliary variable Markov chain Monte Carlo methods. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/28962

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

Graham, Matthew McKenzie. “Auxiliary variable Markov chain Monte Carlo methods.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed November 18, 2019. http://hdl.handle.net/1842/28962.

MLA Handbook (7^{th} Edition):

Graham, Matthew McKenzie. “Auxiliary variable Markov chain Monte Carlo methods.” 2018. Web. 18 Nov 2019.

Vancouver:

Graham MM. Auxiliary variable Markov chain Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1842/28962.

Council of Science Editors:

Graham MM. Auxiliary variable Markov chain Monte Carlo methods. [Doctoral Dissertation]. University of Edinburgh; 2018. Available from: http://hdl.handle.net/1842/28962

University of Southern California

20. Ghamami, Samim. Stochastic models: simulation and heavy traffic analysis.

Degree: PhD, Industrial & Systems Engineering, 2009, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/255496/rec/6067

► This dissertation consists of two main parts: *Monte* *Carlo* Simulation and Heavy Traffic analysis. Much of the simulation part, chapter 1-3, is devoted to ways…
(more)

Subjects/Keywords: efficient simulation; heavy traffic analysis; variance reduction; stochastic processes limits; weak convergence; Brownian motion; jump-diffusion; Markov chain Monte Carlo; Gibbs sampler; stochastic control; barrier options; queueing theory; network reliability

Record Details Similar Records

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

APA (6^{th} Edition):

Ghamami, S. (2009). Stochastic models: simulation and heavy traffic analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/255496/rec/6067

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

Ghamami, Samim. “Stochastic models: simulation and heavy traffic analysis.” 2009. Doctoral Dissertation, University of Southern California. Accessed November 18, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/255496/rec/6067.

MLA Handbook (7^{th} Edition):

Ghamami, Samim. “Stochastic models: simulation and heavy traffic analysis.” 2009. Web. 18 Nov 2019.

Vancouver:

Ghamami S. Stochastic models: simulation and heavy traffic analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Nov 18]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/255496/rec/6067.

Council of Science Editors:

Ghamami S. Stochastic models: simulation and heavy traffic analysis. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/255496/rec/6067

21. Minvielle-Larrousse, Pierre. Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing.

Degree: Docteur es, Mathématiques, 2019, Pau

URL: http://www.theses.fr/2019PAUU3005

►

Lorsqu’une grandeur d’intérêt ne peut être directement mesurée, il est fréquent de procéder à l’observation d’autres quantités qui lui sont liées par des lois physiques.… (more)

Subjects/Keywords: Statistiques appliquées; Problème inverse; Monte Carlo séquentiel; Chaîne de Markov Monte Carlo; Applied statistics; Inverse problem; Sequential Monte Carlo; Markov Chain Monte Carlo; 510

Record Details Similar Records

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

APA (6^{th} Edition):

Minvielle-Larrousse, P. (2019). Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing. (Doctoral Dissertation). Pau. Retrieved from http://www.theses.fr/2019PAUU3005

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

Minvielle-Larrousse, Pierre. “Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing.” 2019. Doctoral Dissertation, Pau. Accessed November 18, 2019. http://www.theses.fr/2019PAUU3005.

MLA Handbook (7^{th} Edition):

Minvielle-Larrousse, Pierre. “Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing.” 2019. Web. 18 Nov 2019.

Vancouver:

Minvielle-Larrousse P. Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing. [Internet] [Doctoral dissertation]. Pau; 2019. [cited 2019 Nov 18]. Available from: http://www.theses.fr/2019PAUU3005.

Council of Science Editors:

Minvielle-Larrousse P. Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing. [Doctoral Dissertation]. Pau; 2019. Available from: http://www.theses.fr/2019PAUU3005

22. Chernoukhov, Alexander. Bayesian Spatial Additive Hazard Model.

Degree: MS, Mathematics and Statistics, 2013, National Library of Canada

URL: http://scholar.uwindsor.ca/etd/4965

► This thesis will be dealing with the problem of Bayesian estimation in additive survival data models accounting for spatial dependencies. We consider the Aalen's…
(more)

Subjects/Keywords: Pure sciences; Additive hazard; Bayesian; Markov chain monte carlo; Spatial; Survival

Record Details Similar Records

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

APA (6^{th} Edition):

Chernoukhov, A. (2013). Bayesian Spatial Additive Hazard Model. (Masters Thesis). National Library of Canada. Retrieved from http://scholar.uwindsor.ca/etd/4965

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

Chernoukhov, Alexander. “Bayesian Spatial Additive Hazard Model.” 2013. Masters Thesis, National Library of Canada. Accessed November 18, 2019. http://scholar.uwindsor.ca/etd/4965.

MLA Handbook (7^{th} Edition):

Chernoukhov, Alexander. “Bayesian Spatial Additive Hazard Model.” 2013. Web. 18 Nov 2019.

Vancouver:

Chernoukhov A. Bayesian Spatial Additive Hazard Model. [Internet] [Masters thesis]. National Library of Canada; 2013. [cited 2019 Nov 18]. Available from: http://scholar.uwindsor.ca/etd/4965.

Council of Science Editors:

Chernoukhov A. Bayesian Spatial Additive Hazard Model. [Masters Thesis]. National Library of Canada; 2013. Available from: http://scholar.uwindsor.ca/etd/4965

Texas A&M University

23.
Hwang, Kyubum.
Uncertainty Analysis in Upscaling Well Log data By *Markov* *Chain* *Monte* *Carlo* Method.

Degree: 2010, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680

► More difficulties are now expected in exploring economically valuable reservoirs because most reservoirs have been already developed since beginning seismic exploration of the subsurface. In…
(more)

Subjects/Keywords: Upscaling; Markov Chain Monte Carlo; MCMC; Bayesian Framework

Record Details Similar Records

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APA (6^{th} Edition):

Hwang, K. (2010). Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680

Not specified: Masters Thesis or Doctoral Dissertation

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

Hwang, Kyubum. “Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method.” 2010. Thesis, Texas A&M University. Accessed November 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hwang, Kyubum. “Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method.” 2010. Web. 18 Nov 2019.

Vancouver:

Hwang K. Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hwang K. Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680

Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

24. Walker, Matthew James. Methods for Bayesian inversion of seismic data.

Degree: PhD, 2015, University of Edinburgh

URL: http://hdl.handle.net/1842/10504

► The purpose of Bayesian seismic inversion is to combine information derived from seismic data and prior geological knowledge to determine a posterior probability distribution over…
(more)

Subjects/Keywords: 551.22; Bayes; seismic inversion; geostatistics; MCMC; Markov-chain Monte-Carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Walker, M. J. (2015). Methods for Bayesian inversion of seismic data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/10504

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

Walker, Matthew James. “Methods for Bayesian inversion of seismic data.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed November 18, 2019. http://hdl.handle.net/1842/10504.

MLA Handbook (7^{th} Edition):

Walker, Matthew James. “Methods for Bayesian inversion of seismic data.” 2015. Web. 18 Nov 2019.

Vancouver:

Walker MJ. Methods for Bayesian inversion of seismic data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/1842/10504.

Council of Science Editors:

Walker MJ. Methods for Bayesian inversion of seismic data. [Doctoral Dissertation]. University of Edinburgh; 2015. Available from: http://hdl.handle.net/1842/10504

University of Otago

25.
Ma, Erfang.
Application of *Markov* *Chain* *Monte* *Carlo* Methods in Electrical Impedance Tomography
.

Degree: 2013, University of Otago

URL: http://hdl.handle.net/10523/4045

► This thesis discusses the application of *Markov* *chain* *Monte* *Carlo* (MCMC) methods in electrical impedance tomography (EIT). This topic arises in the Bayesian approach to…
(more)

Subjects/Keywords: Markov chain Monte Carlo; electrical impedance tomography; inverse problems; Bayesian inference

Record Details Similar Records

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

APA (6^{th} Edition):

Ma, E. (2013). Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4045

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

Ma, Erfang. “Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography .” 2013. Doctoral Dissertation, University of Otago. Accessed November 18, 2019. http://hdl.handle.net/10523/4045.

MLA Handbook (7^{th} Edition):

Ma, Erfang. “Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography .” 2013. Web. 18 Nov 2019.

Vancouver:

Ma E. Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10523/4045.

Council of Science Editors:

Ma E. Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography . [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4045

26.
Araki, Takamitsu.
Adaptive *Markov* *chain* *Monte* *Carlo* for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ.

Degree: 博士(工学), Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/9190

Subjects/Keywords: Markov chain Monte Carlo methods

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Araki, T. (n.d.). Adaptive Markov chain Monte Carlo for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/9190

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

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

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

Araki, Takamitsu. “Adaptive Markov chain Monte Carlo for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed November 18, 2019. http://hdl.handle.net/10061/9190.

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

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Araki, Takamitsu. “Adaptive Markov chain Monte Carlo for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ.” Web. 18 Nov 2019.

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

No year of publication.

Vancouver:

Araki T. Adaptive Markov chain Monte Carlo for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Nov 18]. Available from: http://hdl.handle.net/10061/9190.

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

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

Council of Science Editors:

Araki T. Adaptive Markov chain Monte Carlo for auxiliary variable method and its applications : 補助変数法に対する適応的マルコフ連鎖モンテカルロ法とその応用; ホジョ ヘンスウホウ ニ タイスル テキオウテキ マルコフ レンサ モンテカルロホウ ト ソノ オウヨウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/9190

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

Not specified: Masters Thesis or Doctoral Dissertation

No year of publication.

University of Gothenburg / Göteborgs Universitet

27. Hammar, Oscar. Percolation: Inference and Applications in Hydrology.

Degree: 2011, University of Gothenburg / Göteborgs Universitet

URL: http://hdl.handle.net/2077/27883

► Percolation theory is a branch of probability theory describing connectedness in a stochastic network. The connectedness of a percolation process is governed by a few,…
(more)

Subjects/Keywords: percolation; inference; consistency; Markov chain Monte Carlo; hydrology

Record Details Similar Records

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

APA (6^{th} Edition):

Hammar, O. (2011). Percolation: Inference and Applications in Hydrology. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/27883

Not specified: Masters Thesis or Doctoral Dissertation

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

Hammar, Oscar. “Percolation: Inference and Applications in Hydrology.” 2011. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed November 18, 2019. http://hdl.handle.net/2077/27883.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hammar, Oscar. “Percolation: Inference and Applications in Hydrology.” 2011. Web. 18 Nov 2019.

Vancouver:

Hammar O. Percolation: Inference and Applications in Hydrology. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2011. [cited 2019 Nov 18]. Available from: http://hdl.handle.net/2077/27883.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hammar O. Percolation: Inference and Applications in Hydrology. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2011. Available from: http://hdl.handle.net/2077/27883

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

28. Yang, Chao. ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS.

Degree: PhD, Mechanical Engineering, 2017, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962

► This dissertation aims to study three crucial problems related to *Monte* *Carlo* based particle methods for solving uncertainty quantification problems in complex systems. The first…
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Subjects/Keywords: Mechanical Engineering; Markov chain Monte Carlo theory; Mechanical Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Yang, C. (2017). ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962

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

Yang, Chao. “ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS.” 2017. Doctoral Dissertation, The Ohio State University. Accessed November 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962.

MLA Handbook (7^{th} Edition):

Yang, Chao. “ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS.” 2017. Web. 18 Nov 2019.

Vancouver:

Yang C. ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Nov 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962.

Council of Science Editors:

Yang C. ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962

Penn State University

29. Warner, Ashley Elizabeth. Statistical Skill in the Emulation of Climate Models.

Degree: MS, Meteorology, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/22840

► A climate model of low complexity can be used to emulate the performance of one with higher complexity by identifying the parameters for each model…
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Subjects/Keywords: climate models; climate sensitivity; differential evolution; markov chain monte carlo

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

APA (6^{th} Edition):

Warner, A. E. (2014). Statistical Skill in the Emulation of Climate Models. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/22840

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

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Masters Thesis, Penn State University. Accessed November 18, 2019. https://etda.libraries.psu.edu/catalog/22840.

MLA Handbook (7^{th} Edition):

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Web. 18 Nov 2019.

Vancouver:

Warner AE. Statistical Skill in the Emulation of Climate Models. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Nov 18]. Available from: https://etda.libraries.psu.edu/catalog/22840.

Council of Science Editors:

Warner AE. Statistical Skill in the Emulation of Climate Models. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/22840

Penn State University

30. Liu, Rong. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.

Degree: PhD, Statistics, 2010, Penn State University

URL: https://etda.libraries.psu.edu/catalog/10552

► Questionnaires used in survey-based research are often arranged in multiple sections. Each section contains items that are closely interrelated, serving one or more themes. Even…
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Subjects/Keywords: factor model; EM algorithm; Markov chain Monte Carlo; incomplete data

Record Details Similar Records

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

APA (6^{th} Edition):

Liu, R. (2010). MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10552

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

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Doctoral Dissertation, Penn State University. Accessed November 18, 2019. https://etda.libraries.psu.edu/catalog/10552.

MLA Handbook (7^{th} Edition):

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Web. 18 Nov 2019.

Vancouver:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Nov 18]. Available from: https://etda.libraries.psu.edu/catalog/10552.

Council of Science Editors:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10552