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Markov chain Monte Carlo
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41	Exploring the structure of mental representations by implementing computer algorithms with people Adam N. Sanborn University of Warwick Thomas L. Griffiths Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-10-06 13:14:45 Statistics Monte Carlo methods Statistical theory Probability Markov chain Monte Carlo Markov models Computational statistics Probability distribution MetropolisHastings algorithm Markov chain Normal distribution Hybrid Monte Carlo
42	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
43	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
44	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
45	Stat 542 Homework 3 - Due Thursday, April 7th (12 pm) You are required to submit a hard copy pdf document in class with answers to the following questions. This document must be generated using the LaTeX typesetting lang Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-21 16:55:20 Statistics Statistical theory Probability Probability distributions Bayesian statistics Summary statistics Gibbs sampling Markov chain Monte Carlo Normal distribution Mode Prior probability
46	A SCALED STOCHASTIC NEWTON ALGORITHM FOR MARKOV CHAIN MONTE CARLO SIMULATIONS TAN BUI-THANH † AND Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2012-08-23 17:22:26
47	ACCELERATING MCMC WITH ACTIVE SUBSPACES arXiv:1510.00024v1 [math.NA] 30 Sep 2015 PAUL G. CONSTANTINE∗ , CARSON KENT† , AND TAN BUI-THANH‡ Abstract. The Markov chain Monte Carlo (MCMC) method is the computational w Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2016-02-13 10:28:09
48	Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Avinava Dubey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: sinead.github.io Language: English - Date: 2016-02-09 13:07:31
49	Inverse problems, parameter model reduction, Markov chain Monte Carlo Add to Reading List Source URL: kiwi.mit.edu Language: English
50	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