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You searched for subject:(Markov chain Monte Carlo standard errors). Showing records 1 – 30 of 21622 total matches.

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The Ohio State University

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

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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 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

2. 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 (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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Aslam K. A stochastic Markov chain approach for tennis: Monte Carlo simulation and modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Jan 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

3. 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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Auranen T. Computational Methods for Bayesian Estimation of Neuromagnetic Sources. [Internet] [Thesis]. Helsinki University of Technology; 2007. [cited 2021 Jan 18]. 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


Rochester Institute of Technology

4. 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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Dumont M. Markov chain Monte Carlo on the GPU. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2021 Jan 18]. 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 Alberta

5. 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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 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

6. 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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Howard CW. A search for hep neutrinos with the Sudbury Neutrino Observatory. [Internet] [Doctoral dissertation]. University of Alberta; 2010. [cited 2021 Jan 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


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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 18]. 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


University of Ontario Institute of Technology

8. 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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

McDougall R. Robotic radiation mapping using modelling and probabilistic analysis of sparse data. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2021 Jan 18]. 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


Leiden University

9. Kwakernaak, Lennard. A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions.

Degree: 2020, Leiden University

 The DNA in eukaryotic organisms is largely stored in a compact wrap around histone proteins to form nucleosomes. The mechanics of the DNA play a… (more)

Subjects/Keywords: DNA; Monte Carlo; Markov Chain; Sequence

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APA (6th Edition):

Kwakernaak, L. (2020). A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/137885

Chicago Manual of Style (16th Edition):

Kwakernaak, Lennard. “A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions.” 2020. Masters Thesis, Leiden University. Accessed January 18, 2021. http://hdl.handle.net/1887/137885.

MLA Handbook (7th Edition):

Kwakernaak, Lennard. “A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions.” 2020. Web. 18 Jan 2021.

Vancouver:

Kwakernaak L. A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions. [Internet] [Masters thesis]. Leiden University; 2020. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1887/137885.

Council of Science Editors:

Kwakernaak L. A Modified Frenkel-Kontorova Model for Sampling Nucleosomal DNA Sequences and Positions. [Masters Thesis]. Leiden University; 2020. Available from: http://hdl.handle.net/1887/137885


University of Melbourne

10. 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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 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

11. 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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Santos TNd. Grafos aleatórios exponenciais. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2021 Jan 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/ ;


University of Edinburgh

12. 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 January 18, 2021. http://hdl.handle.net/1842/28962.

MLA Handbook (7th Edition):

Graham, Matthew McKenzie. “Auxiliary variable Markov chain Monte Carlo methods.” 2018. Web. 18 Jan 2021.

Vancouver:

Graham MM. Auxiliary variable Markov chain Monte Carlo methods. [Internet] [Doctoral dissertation]. University of Edinburgh; 2018. [cited 2021 Jan 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

13. 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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 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


University of Otago

14. 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 (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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Ma E. Application of Markov Chain Monte Carlo Methods in Electrical Impedance Tomography . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2021 Jan 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

15. 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 (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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 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.

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

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 January 18, 2021. http://scholar.uwindsor.ca/etd/4965.

MLA Handbook (7th Edition):

Chernoukhov, Alexander. “Bayesian Spatial Additive Hazard Model.” 2013. Web. 18 Jan 2021.

Vancouver:

Chernoukhov A. Bayesian Spatial Additive Hazard Model. [Internet] [Masters thesis]. National Library of Canada; 2013. [cited 2021 Jan 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


Carnegie Mellon University

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

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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Potter CCJ. Kernel Selection for Convergence and Efficiency in Markov Chain Monte Carol. [Internet] [Thesis]. Carnegie Mellon University; 2013. [cited 2021 Jan 18]. 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

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

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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Kitchen N. Markov Chain Monte Carlo Stimulus Generation for Constrained Random Simulation. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2021 Jan 18]. 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

19. 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 January 18, 2021. 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. 18 Jan 2021.

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 2021 Jan 18]. 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


Georgia Tech

20. Fahrbach, Matthew. Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models.

Degree: PhD, Computer Science, 2019, Georgia Tech

 Statistical mechanics bridges the fields of physics and probability theory, providing critical insights into both disciplines. Statistical physics models capture key features of macroscopic phenomena… (more)

Subjects/Keywords: Lattice models; Markov chain Monte Carlo; Sampling algorithms; Statistical physics

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APA (6th Edition):

Fahrbach, M. (2019). Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62274

Chicago Manual of Style (16th Edition):

Fahrbach, Matthew. “Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 18, 2021. http://hdl.handle.net/1853/62274.

MLA Handbook (7th Edition):

Fahrbach, Matthew. “Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models.” 2019. Web. 18 Jan 2021.

Vancouver:

Fahrbach M. Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1853/62274.

Council of Science Editors:

Fahrbach M. Probabilistic techniques for analyzing sampling algorithms and the dynamics of lattice models. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62274


University of Michigan

21. Adams, Caroline. Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation.

Degree: PhD, Mol & Integrtv Physiology PhD, 2020, University of Michigan

 Infertility affects 15-20% of couples; failure to ovulate is a common cause. Ovulation is triggered when estradiol switches from negative feedback action on the pituitary… (more)

Subjects/Keywords: GnRH; kisspeptin; estradiol feedback; Markov-chain Monte Carlo method; Physiology; Science

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

APA (6th Edition):

Adams, C. (2020). Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155290

Chicago Manual of Style (16th Edition):

Adams, Caroline. “Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation.” 2020. Doctoral Dissertation, University of Michigan. Accessed January 18, 2021. http://hdl.handle.net/2027.42/155290.

MLA Handbook (7th Edition):

Adams, Caroline. “Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation.” 2020. Web. 18 Jan 2021.

Vancouver:

Adams C. Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2027.42/155290.

Council of Science Editors:

Adams C. Integrating Network and Intrinsic Changes in GnRH Neuron Control of Ovulation. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155290


Penn State University

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

Degree: 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. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22840

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):

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Thesis, Penn State University. Accessed January 18, 2021. https://submit-etda.libraries.psu.edu/catalog/22840.

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

MLA Handbook (7th Edition):

Warner, Ashley Elizabeth. “Statistical Skill in the Emulation of Climate Models.” 2014. Web. 18 Jan 2021.

Vancouver:

Warner AE. Statistical Skill in the Emulation of Climate Models. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Jan 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/22840.

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

Council of Science Editors:

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

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


University of Waterloo

23. Saberi, Nastaran. Snow Properties Retrieval Using Passive Microwave Observations.

Degree: 2019, University of Waterloo

 Seasonal snow cover, the second-largest component of the cryosphere, is crucial in controlling the climate system, through its important role in modifying Earth’s albedo. The… (more)

Subjects/Keywords: Retrievals; SWE; Emission Model; Passive Microwave; Inversion; Monte Carlo Markov Chain

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

APA (6th Edition):

Saberi, N. (2019). Snow Properties Retrieval Using Passive Microwave Observations. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14582

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):

Saberi, Nastaran. “Snow Properties Retrieval Using Passive Microwave Observations.” 2019. Thesis, University of Waterloo. Accessed January 18, 2021. http://hdl.handle.net/10012/14582.

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

MLA Handbook (7th Edition):

Saberi, Nastaran. “Snow Properties Retrieval Using Passive Microwave Observations.” 2019. Web. 18 Jan 2021.

Vancouver:

Saberi N. Snow Properties Retrieval Using Passive Microwave Observations. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/10012/14582.

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

Council of Science Editors:

Saberi N. Snow Properties Retrieval Using Passive Microwave Observations. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14582

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


University of Newcastle

24. Henriksen, Soren John. Computational Bayesian methods for communications and control.

Degree: PhD, 2013, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

As available computing power increases, there are now opportunities to use computational numerical methods to solve engineering problems… (more)

Subjects/Keywords: Bayesian; metropolis; system identification; Markov chain Monte Carlo; multi-user detection

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APA (6th Edition):

Henriksen, S. J. (2013). Computational Bayesian methods for communications and control. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/939998

Chicago Manual of Style (16th Edition):

Henriksen, Soren John. “Computational Bayesian methods for communications and control.” 2013. Doctoral Dissertation, University of Newcastle. Accessed January 18, 2021. http://hdl.handle.net/1959.13/939998.

MLA Handbook (7th Edition):

Henriksen, Soren John. “Computational Bayesian methods for communications and control.” 2013. Web. 18 Jan 2021.

Vancouver:

Henriksen SJ. Computational Bayesian methods for communications and control. [Internet] [Doctoral dissertation]. University of Newcastle; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1959.13/939998.

Council of Science Editors:

Henriksen SJ. Computational Bayesian methods for communications and control. [Doctoral Dissertation]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/939998


University of Guelph

25. Dobbs, Angie. Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models.

Degree: MS, Department of Mathematics and Statistics, 2012, University of Guelph

 Individual-level models (ILMs) are models that can use the spatial-temporal nature of disease data to capture the disease dynamics. Parameter estimation is usually done via… (more)

Subjects/Keywords: epidemic models; Markov chain Monte Carlo; Bayesian inference; computational efficiency; normalization

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APA (6th Edition):

Dobbs, A. (2012). Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3248

Chicago Manual of Style (16th Edition):

Dobbs, Angie. “Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models.” 2012. Masters Thesis, University of Guelph. Accessed January 18, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3248.

MLA Handbook (7th Edition):

Dobbs, Angie. “Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models.” 2012. Web. 18 Jan 2021.

Vancouver:

Dobbs A. Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models. [Internet] [Masters thesis]. University of Guelph; 2012. [cited 2021 Jan 18]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3248.

Council of Science Editors:

Dobbs A. Issues of Computational Efficiency and Model Approximation for Spatial Individual-Level Infectious Disease Models. [Masters Thesis]. University of Guelph; 2012. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/3248


Australian National University

26. Knapp, Simon Orlando. Land Use Mapping Using Constrained Monte Carlo Methods .

Degree: 2016, Australian National University

 We present a flexible, automated, Bayesian method designed for broad scale land use mapping. The method is based on a Monte Carlo Markov Chain and… (more)

Subjects/Keywords: Land Use; Markov Chain Monte Carlo; Remote Sensing

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APA (6th Edition):

Knapp, S. O. (2016). Land Use Mapping Using Constrained Monte Carlo Methods . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/133595

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):

Knapp, Simon Orlando. “Land Use Mapping Using Constrained Monte Carlo Methods .” 2016. Thesis, Australian National University. Accessed January 18, 2021. http://hdl.handle.net/1885/133595.

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

MLA Handbook (7th Edition):

Knapp, Simon Orlando. “Land Use Mapping Using Constrained Monte Carlo Methods .” 2016. Web. 18 Jan 2021.

Vancouver:

Knapp SO. Land Use Mapping Using Constrained Monte Carlo Methods . [Internet] [Thesis]. Australian National University; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1885/133595.

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

Council of Science Editors:

Knapp SO. Land Use Mapping Using Constrained Monte Carlo Methods . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/133595

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


University of Toronto

27. Otsubo, Kay Sarah. Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo.

Degree: 2019, University of Toronto

Previously, research exploring mental representations of categories has faced two challenges: 1) Preselection of stimuli by the experimenter limited full exploration of the mental representation.… (more)

Subjects/Keywords: Categorization; Experimental design; Markov chain Monte Carlo; Mental representation; 0633

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APA (6th Edition):

Otsubo, K. S. (2019). Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/98303

Chicago Manual of Style (16th Edition):

Otsubo, Kay Sarah. “Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo.” 2019. Masters Thesis, University of Toronto. Accessed January 18, 2021. http://hdl.handle.net/1807/98303.

MLA Handbook (7th Edition):

Otsubo, Kay Sarah. “Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo.” 2019. Web. 18 Jan 2021.

Vancouver:

Otsubo KS. Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo. [Internet] [Masters thesis]. University of Toronto; 2019. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1807/98303.

Council of Science Editors:

Otsubo KS. Comparing Apples to Apples: Measuring Mental Representations with Linked and Complete Markov Chain Monte Carlo. [Masters Thesis]. University of Toronto; 2019. Available from: http://hdl.handle.net/1807/98303


University of Gothenburg / Göteborgs Universitet

28. 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 (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 January 18, 2021. 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. 18 Jan 2021.

Vancouver:

Hammar O. Percolation: Inference and Applications in Hydrology. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2011. [cited 2021 Jan 18]. 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


Rice University

29. Vankov, Emilian. Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods.

Degree: PhD, Engineering, 2015, Rice University

 A new approach to state filtering and parameter estimation for a class of stochastic volatility models for which the likelihood function is unknown is considered.… (more)

Subjects/Keywords: Stochastic Volatility; Stable Distribution; Approximate Bayesian Computation; Markov Chain Monte Carlo

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APA (6th Edition):

Vankov, E. (2015). Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/107995

Chicago Manual of Style (16th Edition):

Vankov, Emilian. “Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods.” 2015. Doctoral Dissertation, Rice University. Accessed January 18, 2021. http://hdl.handle.net/1911/107995.

MLA Handbook (7th Edition):

Vankov, Emilian. “Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods.” 2015. Web. 18 Jan 2021.

Vancouver:

Vankov E. Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods. [Internet] [Doctoral dissertation]. Rice University; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/1911/107995.

Council of Science Editors:

Vankov E. Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods. [Doctoral Dissertation]. Rice University; 2015. Available from: http://hdl.handle.net/1911/107995


Delft University of Technology

30. Butler, Jacob (author). Bayesian Identification of Thermodynamic Parameters from Shock Tube Data.

Degree: 2018, Delft University of Technology

 The project concerns uncertainty reduction of parameters of a thermodynamic equation of state for a dense gas, using Bayesian inference. The dense gas considered is… (more)

Subjects/Keywords: Bayesian Inference; Dense gas flow; Markov Chain Monte Carlo

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

APA (6th Edition):

Butler, J. (. (2018). Bayesian Identification of Thermodynamic Parameters from Shock Tube Data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6c0a3871-aaca-45d3-80dc-a4265f95088a

Chicago Manual of Style (16th Edition):

Butler, Jacob (author). “Bayesian Identification of Thermodynamic Parameters from Shock Tube Data.” 2018. Masters Thesis, Delft University of Technology. Accessed January 18, 2021. http://resolver.tudelft.nl/uuid:6c0a3871-aaca-45d3-80dc-a4265f95088a.

MLA Handbook (7th Edition):

Butler, Jacob (author). “Bayesian Identification of Thermodynamic Parameters from Shock Tube Data.” 2018. Web. 18 Jan 2021.

Vancouver:

Butler J(. Bayesian Identification of Thermodynamic Parameters from Shock Tube Data. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Jan 18]. Available from: http://resolver.tudelft.nl/uuid:6c0a3871-aaca-45d3-80dc-a4265f95088a.

Council of Science Editors:

Butler J(. Bayesian Identification of Thermodynamic Parameters from Shock Tube Data. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:6c0a3871-aaca-45d3-80dc-a4265f95088a

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