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You searched for subject:( Markov chain Monte Carlo). Showing records 1 – 30 of 14727 total matches.

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University of Southern California

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

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

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

APA (6th 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 (16th Edition):

Aslam, Kamran. “A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling.” 2012. Doctoral Dissertation, University of Southern California. Accessed September 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/12697/rec/371.

MLA Handbook (7th Edition):

Aslam, Kamran. “A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling.” 2012. Web. 19 Sep 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 Sep 19]. 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

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

Degree: 2007, Helsinki University of Technology

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

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APA (6th 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/

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

Chicago Manual of Style (16th Edition):

Auranen, Toni. “Computational Methods for Bayesian Estimation of Neuromagnetic Sources.” 2007. Thesis, Helsinki University of Technology. Accessed September 19, 2019. http://lib.tkk.fi/Diss/2007/isbn9789512289547/.

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

MLA Handbook (7th Edition):

Auranen, Toni. “Computational Methods for Bayesian Estimation of Neuromagnetic Sources.” 2007. Web. 19 Sep 2019.

Vancouver:

Auranen T. Computational Methods for Bayesian Estimation of Neuromagnetic Sources. [Internet] [Thesis]. Helsinki University of Technology; 2007. [cited 2019 Sep 19]. Available from: http://lib.tkk.fi/Diss/2007/isbn9789512289547/.

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

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


University of Ontario Institute of Technology

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

Degree: 2015, University of Ontario Institute of Technology

 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

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APA (6th 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

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

Chicago Manual of Style (16th Edition):

McDougall, Robin. “Robotic radiation mapping using modelling and probabilistic analysis of sparse data.” 2015. Thesis, University of Ontario Institute of Technology. Accessed September 19, 2019. http://hdl.handle.net/10155/552.

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

MLA Handbook (7th Edition):

McDougall, Robin. “Robotic radiation mapping using modelling and probabilistic analysis of sparse data.” 2015. Web. 19 Sep 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 Sep 19]. Available from: http://hdl.handle.net/10155/552.

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

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


University of Alberta

4. 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

 \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

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APA (6th 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 (16th 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 September 19, 2019. https://era.library.ualberta.ca/files/cvx021f21f.

MLA Handbook (7th Edition):

Habib, Shahnoor. “A Combined Three-Phase Signal Extraction of the Sudbury Neutrino Observatory Data Using Markov Chain Monte Carlo Technique.” 2011. Web. 19 Sep 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 Sep 19]. 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

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

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

 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

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APA (6th 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 (16th Edition):

Howard, Christopher William. “A search for hep neutrinos with the Sudbury Neutrino Observatory.” 2010. Doctoral Dissertation, University of Alberta. Accessed September 19, 2019. https://era.library.ualberta.ca/files/v118rd64z.

MLA Handbook (7th Edition):

Howard, Christopher William. “A search for hep neutrinos with the Sudbury Neutrino Observatory.” 2010. Web. 19 Sep 2019.

Vancouver:

Howard CW. A search for hep neutrinos with the Sudbury Neutrino Observatory. [Internet] [Doctoral dissertation]. University of Alberta; 2010. [cited 2019 Sep 19]. 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

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

Degree: MS, Statistics, 2009, Penn State University

 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

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APA (6th 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 (16th Edition):

Tibbits, Matthew McLean. “Parallel Multivariate Slice Sampling.” 2009. Masters Thesis, Penn State University. Accessed September 19, 2019. https://etda.libraries.psu.edu/catalog/9151.

MLA Handbook (7th Edition):

Tibbits, Matthew McLean. “Parallel Multivariate Slice Sampling.” 2009. Web. 19 Sep 2019.

Vancouver:

Tibbits MM. Parallel Multivariate Slice Sampling. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Sep 19]. 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

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

Degree: 2013, University of Waterloo

 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

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APA (6th 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

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

Chicago Manual of Style (16th Edition):

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 September 19, 2019. http://hdl.handle.net/10012/7906.

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

MLA Handbook (7th Edition):

Mathew, Manoj. “The Application of Markov Chain Monte Carlo Techniques in Non-Linear Parameter Estimation for Chemical Engineering Models.” 2013. Web. 19 Sep 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 Sep 19]. Available from: http://hdl.handle.net/10012/7906.

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

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


Rochester Institute of Technology

8. Dumont, Michael. Markov chain Monte Carlo on the GPU.

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Dumont, Michael. “Markov chain Monte Carlo on the GPU.” 2011. Thesis, Rochester Institute of Technology. Accessed September 19, 2019. https://scholarworks.rit.edu/theses/83.

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

MLA Handbook (7th Edition):

Dumont, Michael. “Markov chain Monte Carlo on the GPU.” 2011. Web. 19 Sep 2019.

Vancouver:

Dumont M. Markov chain Monte Carlo on the GPU. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2019 Sep 19]. Available from: https://scholarworks.rit.edu/theses/83.

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

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


University of New South Wales

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

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

 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

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APA (6th 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 (16th Edition):

Peters, Gareth William. “Advances in approximate Bayesian computation and trans-dimensional sampling methodology.” 2010. Doctoral Dissertation, University of New South Wales. Accessed September 19, 2019. http://handle.unsw.edu.au/1959.4/50086 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9018/SOURCE02?view=true.

MLA Handbook (7th Edition):

Peters, Gareth William. “Advances in approximate Bayesian computation and trans-dimensional sampling methodology.” 2010. Web. 19 Sep 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 Sep 19]. 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

10. Matthews, James. Markov chains for sampling matchings.

Degree: 2008, University of Edinburgh

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

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APA (6th 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 (16th Edition):

Matthews, James. “Markov chains for sampling matchings.” 2008. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/3072.

MLA Handbook (7th Edition):

Matthews, James. “Markov chains for sampling matchings.” 2008. Web. 19 Sep 2019.

Vancouver:

Matthews J. Markov chains for sampling matchings. [Internet] [Doctoral dissertation]. University of Edinburgh; 2008. [cited 2019 Sep 19]. 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

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

Degree: 2011, University of Melbourne

 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 (6th 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 (16th 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 September 19, 2019. http://hdl.handle.net/11343/36875.

MLA Handbook (7th Edition):

Vu, Tuyet Thi Anh. “A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking.” 2011. Web. 19 Sep 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 Sep 19]. 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

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

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

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 (6th 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 (16th Edition):

Santos, Tássio Naia dos. “Grafos aleatórios exponenciais.” 2013. Masters Thesis, University of São Paulo. Accessed September 19, 2019. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19022014-195734/ ;.

MLA Handbook (7th Edition):

Santos, Tássio Naia dos. “Grafos aleatórios exponenciais.” 2013. Web. 19 Sep 2019.

Vancouver:

Santos TNd. Grafos aleatórios exponenciais. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2019 Sep 19]. 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/ ;


The Ohio State University

13. 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

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 (6th 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 (16th 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 September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406.

MLA Handbook (7th Edition):

Olsen, Andrew Nolan. “When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.” 2015. Web. 19 Sep 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 Sep 19]. 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 Edinburgh

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

Degree: PhD, 2018, University of Edinburgh

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

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APA (6th 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 (16th Edition):

Graham, Matthew McKenzie. “Auxiliary variable Markov chain Monte Carlo methods.” 2018. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/28962.

MLA Handbook (7th Edition):

Graham, Matthew McKenzie. “Auxiliary variable Markov chain Monte Carlo methods.” 2018. Web. 19 Sep 2019.

Vancouver:

Graham MM. Auxiliary variable Markov chain Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2019 Sep 19]. 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

15. 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

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

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APA (6th 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 (16th 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 September 19, 2019. http://www.theses.fr/2019PAUU3005.

MLA Handbook (7th Edition):

Minvielle-Larrousse, Pierre. “Méthodes de simulation stochastique pour le traitement de l’information : Stochastic simulation methods for information processing.” 2019. Web. 19 Sep 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 Sep 19]. 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

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

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

  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

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APA (6th 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 (16th Edition):

Chernoukhov, Alexander. “Bayesian Spatial Additive Hazard Model.” 2013. Masters Thesis, National Library of Canada. Accessed September 19, 2019. http://scholar.uwindsor.ca/etd/4965.

MLA Handbook (7th Edition):

Chernoukhov, Alexander. “Bayesian Spatial Additive Hazard Model.” 2013. Web. 19 Sep 2019.

Vancouver:

Chernoukhov A. Bayesian Spatial Additive Hazard Model. [Internet] [Masters thesis]. National Library of Canada; 2013. [cited 2019 Sep 19]. 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

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

Degree: 2010, Texas A&M University

 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

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

APA (6th 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

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

Chicago Manual of Style (16th Edition):

Hwang, Kyubum. “Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method.” 2010. Thesis, Texas A&M University. Accessed September 19, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680.

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

MLA Handbook (7th Edition):

Hwang, Kyubum. “Uncertainty Analysis in Upscaling Well Log data By Markov Chain Monte Carlo Method.” 2010. Web. 19 Sep 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 Sep 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-680.

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

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


University of Edinburgh

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

Degree: PhD, 2015, University of Edinburgh

 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

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

APA (6th 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 (16th Edition):

Walker, Matthew James. “Methods for Bayesian inversion of seismic data.” 2015. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2019. http://hdl.handle.net/1842/10504.

MLA Handbook (7th Edition):

Walker, Matthew James. “Methods for Bayesian inversion of seismic data.” 2015. Web. 19 Sep 2019.

Vancouver:

Walker MJ. Methods for Bayesian inversion of seismic data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2015. [cited 2019 Sep 19]. 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

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

Degree: 2013, University of Otago

 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

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

APA (6th 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 (16th Edition):

Ma, Erfang. “Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography .” 2013. Doctoral Dissertation, University of Otago. Accessed September 19, 2019. http://hdl.handle.net/10523/4045.

MLA Handbook (7th Edition):

Ma, Erfang. “Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography .” 2013. Web. 19 Sep 2019.

Vancouver:

Ma E. Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2019 Sep 19]. 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

20. 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

Subjects/Keywords: Markov chain Monte Carlo methods

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

APA (6th 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 (16th 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 September 19, 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 (7th 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. 19 Sep 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 Sep 19]. 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

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

Degree: 2011, University of Gothenburg / Göteborgs Universitet

 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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Hammar, Oscar. “Percolation: Inference and Applications in Hydrology.” 2011. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed September 19, 2019. http://hdl.handle.net/2077/27883.

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

MLA Handbook (7th Edition):

Hammar, Oscar. “Percolation: Inference and Applications in Hydrology.” 2011. Web. 19 Sep 2019.

Vancouver:

Hammar O. Percolation: Inference and Applications in Hydrology. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2011. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/2077/27883.

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

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


The Ohio State University

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

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

 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… (more)

Subjects/Keywords: Mechanical Engineering; Markov chain Monte Carlo theory; Mechanical Engineering

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

APA (6th 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 (16th Edition):

Yang, Chao. “ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS.” 2017. Doctoral Dissertation, The Ohio State University. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511967797285962.

MLA Handbook (7th Edition):

Yang, Chao. “ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS.” 2017. Web. 19 Sep 2019.

Vancouver:

Yang C. ON PARTICLE METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPLEX SYSTEMS. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Sep 19]. 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

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

Degree: MS, Meteorology, 2014, Penn State University

 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… (more)

Subjects/Keywords: climate models; climate sensitivity; differential evolution; markov chain monte carlo

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APA (6th 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 (16th Edition):

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Masters Thesis, Penn State University. Accessed September 19, 2019. https://etda.libraries.psu.edu/catalog/22840.

MLA Handbook (7th Edition):

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Web. 19 Sep 2019.

Vancouver:

Warner AE. Statistical Skill in the Emulation of Climate Models. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Sep 19]. 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

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

Degree: PhD, Statistics, 2010, Penn State University

 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… (more)

Subjects/Keywords: factor model; EM algorithm; Markov chain Monte Carlo; incomplete data

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APA (6th 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 (16th Edition):

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Doctoral Dissertation, Penn State University. Accessed September 19, 2019. https://etda.libraries.psu.edu/catalog/10552.

MLA Handbook (7th Edition):

Liu, Rong. “MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES.” 2010. Web. 19 Sep 2019.

Vancouver:

Liu R. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Sep 19]. 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


Carnegie Mellon University

25. Potter, Christopher C. J. Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol.

Degree: 2013, Carnegie Mellon University

Markov Chain Monte Carlo (MCMC) is a technique for sampling from a target probability distribution, and has risen in importance as faster computing hardware has… (more)

Subjects/Keywords: Markov Chain Monte Carlo; detailed balance; acceptance ratio; Metropolis algorithm; Mathematics

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APA (6th Edition):

Potter, C. C. J. (2013). Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/249

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

Chicago Manual of Style (16th Edition):

Potter, Christopher C J. “Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol.” 2013. Thesis, Carnegie Mellon University. Accessed September 19, 2019. http://repository.cmu.edu/dissertations/249.

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

MLA Handbook (7th Edition):

Potter, Christopher C J. “Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol.” 2013. Web. 19 Sep 2019.

Vancouver:

Potter CCJ. Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2019 Sep 19]. Available from: http://repository.cmu.edu/dissertations/249.

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

Council of Science Editors:

Potter CCJ. Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol. [Thesis]. Carnegie Mellon University; 2013. Available from: http://repository.cmu.edu/dissertations/249

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


University of California – Berkeley

26. Kitchen, Nathan. Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation.

Degree: Electrical Engineering & Computer Sciences, 2010, University of California – Berkeley

 As integrated circuits have grown in size and complexity, the time required for functional verification has become the largest part of total design time. The… (more)

Subjects/Keywords: Electrical Engineering; Markov chain Monte Carlo; Metropolis algorithm; simulation; verification

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APA (6th Edition):

Kitchen, N. (2010). Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/6gp3z1t0

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

Chicago Manual of Style (16th Edition):

Kitchen, Nathan. “Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation.” 2010. Thesis, University of California – Berkeley. Accessed September 19, 2019. http://www.escholarship.org/uc/item/6gp3z1t0.

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

MLA Handbook (7th Edition):

Kitchen, Nathan. “Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation.” 2010. Web. 19 Sep 2019.

Vancouver:

Kitchen N. Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/6gp3z1t0.

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

Council of Science Editors:

Kitchen N. Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/6gp3z1t0

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


University of California – Berkeley

27. Kominiarczuk, Jakub. Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization.

Degree: Mathematics, 2013, University of California – Berkeley

 We present a method for sampling high-dimensional probability spaces, applicable to Markov fields with both discrete and continuous variables, based on an approximate acyclic representation… (more)

Subjects/Keywords: Applied mathematics; Markov Chain Monte Carlo; Sampling; Simulation

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APA (6th Edition):

Kominiarczuk, J. (2013). Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/99d0g6x0

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

Chicago Manual of Style (16th Edition):

Kominiarczuk, Jakub. “Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization.” 2013. Thesis, University of California – Berkeley. Accessed September 19, 2019. http://www.escholarship.org/uc/item/99d0g6x0.

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

MLA Handbook (7th Edition):

Kominiarczuk, Jakub. “Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization.” 2013. Web. 19 Sep 2019.

Vancouver:

Kominiarczuk J. Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/99d0g6x0.

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

Council of Science Editors:

Kominiarczuk J. Acyclic Monte Carlo: Efficient multi-level sampling of undirected graphical models through fast marginalization. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/99d0g6x0

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


Duke University

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

Degree: 2015, Duke University

  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

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APA (6th 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 (16th Edition):

VanDerwerken, Douglas. “Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning .” 2015. Thesis, Duke University. Accessed September 19, 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 (7th Edition):

VanDerwerken, Douglas. “Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning .” 2015. Web. 19 Sep 2019.

Vancouver:

VanDerwerken D. Monitoring and Improving Markov Chain Monte Carlo Convergence by Partitioning . [Internet] [Thesis]. Duke University; 2015. [cited 2019 Sep 19]. 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

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


Virginia Tech

29. Carzolio, Marcos Arantes. On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions.

Degree: PhD, Statistics, 2016, Virginia Tech

 We are entering an exciting era, rich in the availability of data via sources such as the Internet, satellites, particle colliders, telecommunication networks, computer simulations,… (more)

Subjects/Keywords: Markov chain Monte Carlo; reversible jump; weighted particle tempering

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

APA (6th Edition):

Carzolio, M. A. (2016). On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71765

Chicago Manual of Style (16th Edition):

Carzolio, Marcos Arantes. “On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 19, 2019. http://hdl.handle.net/10919/71765.

MLA Handbook (7th Edition):

Carzolio, Marcos Arantes. “On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions.” 2016. Web. 19 Sep 2019.

Vancouver:

Carzolio MA. On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10919/71765.

Council of Science Editors:

Carzolio MA. On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71765


Southern Illinois University

30. Al Hakmani, Rahab. Bayesian Estimation of Mixture IRT Models using NUTS.

Degree: PhD, Quantitative Methods, 2018, Southern Illinois University

  The No-U-Turn Sampler (NUTS) is a relatively new Markov chain Monte Carlo (MCMC) algorithm that avoids the random walk behavior that common MCMC algorithms… (more)

Subjects/Keywords: Markov Chain Monte Carlo; Mixture IRT models; No-U-Turn Sampler

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APA (6th Edition):

Al Hakmani, R. (2018). Bayesian Estimation of Mixture IRT Models using NUTS. (Doctoral Dissertation). Southern Illinois University. Retrieved from https://opensiuc.lib.siu.edu/dissertations/1641

Chicago Manual of Style (16th Edition):

Al Hakmani, Rahab. “Bayesian Estimation of Mixture IRT Models using NUTS.” 2018. Doctoral Dissertation, Southern Illinois University. Accessed September 19, 2019. https://opensiuc.lib.siu.edu/dissertations/1641.

MLA Handbook (7th Edition):

Al Hakmani, Rahab. “Bayesian Estimation of Mixture IRT Models using NUTS.” 2018. Web. 19 Sep 2019.

Vancouver:

Al Hakmani R. Bayesian Estimation of Mixture IRT Models using NUTS. [Internet] [Doctoral dissertation]. Southern Illinois University; 2018. [cited 2019 Sep 19]. Available from: https://opensiuc.lib.siu.edu/dissertations/1641.

Council of Science Editors:

Al Hakmani R. Bayesian Estimation of Mixture IRT Models using NUTS. [Doctoral Dissertation]. Southern Illinois University; 2018. Available from: https://opensiuc.lib.siu.edu/dissertations/1641

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