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Metropolis–Hastings algorithm
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41	A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video Ricky J. Sethi UC Riverside [removed] Add to Reading List Source URL: research.sethi.org Language: English - Date: 2010-05-15 03:05:32 Probability and statistics Markov models Computational statistics Hamiltonian mechanics Symplectic geometry Markov chain Monte Carlo Markov chain Hybrid Monte Carlo Metropolis–Hastings algorithm Statistics Physics Monte Carlo methods
42	Curve Sampling and Geometric Conditional Simulation by Ayres C. Fan B.S., Electrical Engineering University of Minnesota, 2000 S.M., Electrical Engineering and Computer Science Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:49 Applied mathematics Monte Carlo methods Markov chain Monte Carlo Theoretical computer science Computational statistics Markov chain Metropolis–Hastings algorithm Gibbs sampling Segmentation Statistics Probability and statistics Markov models
43	Efficient Hierarchical MCMC for Policy Search Malcolm Strens [removed] Room G020, A9 Building, QinetiQ, Ively Road, Farnborough, Hampshire, GU14 0LX, UK. Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:41 Applied mathematics Computational statistics Markov models Markov chain Monte Carlo Estimation theory Particle filter Metropolis–Hastings algorithm Parallel tempering Markov chain Statistics Monte Carlo methods Probability and statistics
44	37. Monte Carlo techniques[removed]MONTE CARLO TECHNIQUES Revised September 2011 by G. Cowan (RHUL). Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables go Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2012-06-18 19:20:32 Mathematics Non-uniform random numbers Randomness Estimation theory Normal distribution Gamma distribution Rejection sampling Inverse transform sampling Metropolis–Hastings algorithm Statistics Probability and statistics Monte Carlo methods
45	Tempering for Bayesian C&RT Nicos Angelopoulos [removed] James Cussens [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:12 Markov chain Bayesian network Posterior probability Conjugate prior Metropolis–Hastings algorithm Maximum likelihood Bayes estimator Naive Bayes classifier Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian inference
46	PDF Document Add to Reading List Source URL: iis.uibk.ac.at Language: English - Date: 2014-02-13 06:01:12 Probability theory Applied mathematics Probability and statistics Gibbs sampling Metropolis–Hastings algorithm Markov random field Markov chain Monte Carlo Monte Carlo methods Statistics
47	PDF Document Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2008-12-10 22:19:38 Markov models Computational statistics Markov chain Monte Carlo Markov chain Gibbs sampling Metropolis–Hastings algorithm Point estimation Marginal likelihood Bayesian inference in phylogeny Statistics Probability and statistics Monte Carlo methods
48	PDF Document Add to Reading List Source URL: sirl.stanford.edu Language: English - Date: 2006-06-23 16:50:21 Metropolis–Hastings algorithm Cognitive science Statistics Neuroscience Magnetic resonance imaging Tractography Brian Wandell
49	PDF Document Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2006-12-21 09:57:48 Monte Carlo methods Markov chain Monte Carlo Markov processes Gibbs sampling Markov chain Metropolis–Hastings algorithm Bayesian inference Markov property Statistics Markov models Probability and statistics
50	Markov Chain Monte Carlo with People Adam N. Sanborn Psychological and Brain Sciences Indiana University Bloomington, IN 47045 Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2008-12-18 19:25:53 Statistical inference Monte Carlo methods Markov models Markov chain Monte Carlo Markov chain Estimation theory Normal distribution Metropolis–Hastings algorithm Bayesian probability Statistics Probability and statistics Bayesian statistics

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