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Monte Carlo methods
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#	Item
61	Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:35 Applied mathematics Statistical randomness Probability and statistics Monte Carlo methods Markov models Statistical mechanics Stochastic optimization Computational statistics Markov chain Monte Carlo Stochastic approximation Langevin dynamics Bayesian network
62	A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2014-05-24 19:58:02 Monte Carlo methods Markov chain Monte Carlo Non-uniform random numbers Probability distributions Computational statistics Gibbs sampling Rejection sampling MetropolisHastings algorithm Slice sampling Bayesian network Quasiconvex function Normal distribution
63	A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Yuan Shen Neural Computing Research Group Aston University Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2011-03-29 16:39:24
64	/home/takeuchi/shogi-ec-quiesce.ps Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:38 Game artificial intelligence Electronic games Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go UCT Elo rating system Receiver operating characteristic Evaluation Computer chess
65	1 Continuous-time Monte Carlo methods for quantum impurity models Emanuel Gull and Andrew J. Millis arXiv:1012.4474v2 [cond-mat.str-el] 5 May 2011 Add to Reading List Source URL: phys.columbia.edu Language: English - Date: 2011-09-06 09:38:17
66	Free energy computations Monte Carlo methods in molecular dynamics ` Tony Lelievre ´ CERMICS, Ecole Nationale des Ponts et Chaussees, Add to Reading List Source URL: cermics.enpc.fr Language: English - Date: 2010-03-08 11:55:22
67	Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans Algoritmica TIM @ ALGORITMICA . NL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Statistical theory Probability Markov models Computational statistics Bayesian statistics Monte Carlo methods Monte Carlo software Variational Bayesian methods Bayesian network Markov chain Gibbs sampling
68	Empirical Evidence for Markov Chain Monte Carlo in Memory Search David D. Bourgin () Joshua T. Abbott () Thomas L. Griffiths (tom ) Department of Psyc Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-05-03 19:23:30 Semantics Monte Carlo methods Markov models Computational statistics Mental processes Semantic memory MetropolisHastings algorithm Markov chain Monte Carlo Recall Markov chain Artificial neural network Latent semantic analysis
69	Generative probabilistic models extend the scope of inferential structure determination Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2012-01-24 06:25:17 Statistics Statistical theory Protein methods Protein structure Bioinformatics Markov chain Monte Carlo Gibbs sampling Root-mean-square deviation Monte Carlo method Bayesian inference Structure validation Global optimization
70	MCMC and the Label Switching Problem in Bayesian Mixture Modelling 1 Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modelling Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2005-01-27 04:22:50

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