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Markov chain Monte Carlo
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151	Markov Chain Monte Carlo (and Bayesian Mixture Models) David M. Blei Columbia University October 14, 2014 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Statistical models Monte Carlo methods Markov models Expectation–maximization algorithm Mixture model Gibbs sampling Conjugate prior Markov chain Monte Carlo Variational Bayesian methods Statistics Bayesian statistics Estimation theory
152	Journal of Artificial Intelligence Research883 Submitted 06/13; publishedScalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2013-11-28 14:07:54 Markov models Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Monte Carlo method Markov chain Monte Carlo Graphical model Statistics Probability and statistics Bayesian statistics
153	Hybrid In-Database Inference for Declarative Information Extraction Daisy Zhe Wang Michael J. Franklin Add to Reading List Source URL: www.cise.ufl.edu Language: English - Date: 2014-08-27 19:27:29 Probability and statistics Probability Theoretical computer science Probability theory Computational statistics Markov chain Monte Carlo Conditional random field Hidden Markov model Markov chain Markov models Statistics Graphical models
154	Introduction Parameter inference Top-down modelling Conclusions Introduction Add to Reading List Source URL: www.cs.tut.fi Language: English - Date: 2008-07-01 04:54:35 Bayesian statistics Philosophy of science Estimation theory Bayesian inference Inference Markov chain Monte Carlo Point estimation Statistics Statistical inference Statistical theory
155	PIMS Distinguished Lecture Series Poster - Prepress Add to Reading List Source URL: probability.ca Language: English - Date: 2009-05-07 12:58:46 Computational statistics Probability and statistics Markov chain Monte Carlo Markov chain Gibbs sampling Randomness Algorithm Statistics Markov models Monte Carlo methods
156	Discussion contribution: Lindgren, F., Rue, H. and Lindstr¨om, JAn explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach. To appear in J Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-03-23 05:55:28 Monte Carlo methods Geostatistics Computational statistics Spatial data analysis Markov chain Monte Carlo Markov chain Normal distribution Markov random field Covariance function Statistics Probability and statistics Markov models
157	CHAPTER ONE. Introduction. My Ph.D. thesis is concerned with convergence properties of certain Markov chains. Specifically, I have studied various random walks on finite and compact Lie groups (Chapters 2 and 3), and ha Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:47 Markov processes Markov chain Random walk Gibbs sampling Stationary distribution Markov chain Monte Carlo Stationary process Statistics Stochastic processes Markov models
158	Reservoir Modeling Combining Geostatistics with Markov Chain Monte Carlo Inversion Andrea Zunino, Katrine Lange, Yulia Melnikova, Thomas Mejer Hansen and Klaus Mosegaard 1 Introduction Add to Reading List Source URL: www.nbi.dk Language: English - Date: 2015-05-05 07:36:22 Economic geology Science Seismology Geophysics Seismic inversion Geostatistics Monte Carlo method Markov chain Petrophysics Petroleum Statistics Geology
159	Rates of Convergence for Gibbs Sampling for Variance Component Models by Jeffrey S. Rosenthal Department of Statistics, University of Toronto, Toronto, Ontario, Canada M5S 1A1 Phone: (. Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:24:18 Markov chain Monte Carlo Markov chain Bayesian inference Normal distribution Variance Statistics Markov models Gibbs sampling
160	CHAPTER SIX. Concluding Comments. In this thesis, we have considered various Markov chains, and in particular their rates of convergence. Many of the results presented suggest possible generalizations and directions for Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:36 Markov processes Stochastic processes Markov chain Random walk Gibbs sampling Shuffling Markov chain Monte Carlo Statistics Probability and statistics Markov models