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Markov chain Monte Carlo
Results: 380

#	Item
81	Distributed Stochastic Gradient MCMC Sungjin Ahn Department of Computer Science, University of California, Irvine, CA 92697, USA Babak Shahbaba Department of Statistics, University of California, Irvine, CA 92697, USA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2014-04-19 07:04:50 Estimation theory Markov chain Monte Carlo Estimator Markov chain Latent Dirichlet allocation Perplexity Normal distribution Statistics Statistical inference Markov models
82	Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal Technical Report CRG-TR-93-1 Department of Computer Science University of Toronto Add to Reading List Source URL: omega.albany.edu Language: English - Date: 2005-09-22 15:54:55
83	Microsoft Word110139 Add to Reading List Source URL: www.lasg.ac.cn Language: English - Date: 2012-03-08 21:44:30 Monte Carlo methods Estimation theory Markov models Weather prediction Statistical forecasting Limited-memory BFGS BFGS method Markov chain Monte Carlo Mixture model Statistics Probability and statistics Mathematical sciences
84	arXiv:1301.4168v2 [cs.LG] 16 MarHerded Gibbs Sampling Luke Bornn Harvard University Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-04-19 06:38:10 Applied mathematics Statistical mechanics Markov chain Monte Carlo Gibbs sampling Monte Carlo methods Conditional random field Gibbs algorithm Markov chain Viterbi algorithm Statistics Probability and statistics Markov models
85	Evidence Estimation for Bayesian Partially Observed MRFs Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-02-14 03:02:58 Normal distribution Expectation–maximization algorithm Variational Bayesian methods Bayesian network Markov chain Monte Carlo Maximum likelihood Deviance information criterion Pierre-Simon Laplace Markov random field Statistics Bayesian statistics Marginal likelihood
86	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring Sungjin Ahn Dept. of Computer Science, UC Irvine, Irvine, CA, USA SUNGJIA @ ICS . UCI . EDU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-05-22 12:55:14 Fisher information Markov chain Monte Carlo Normal distribution Stochastic gradient descent Maximum a posteriori estimation Confidence interval Central limit theorem Score Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
87	Markov Chain Monte Carlo for Statistical Inference By JULIAN BESAG1 University of Washington, USA April 2001 Center for Statistics and the Social Sciences Add to Reading List Source URL: www.csss.washington.edu Language: English - Date: 2009-01-07 17:16:32
88	On the Containment Condition for Adaptive Markov Chain Monte Carlo Algorithms Yan Bai∗, Gareth O. Roberts†and Jeffrey S. Rosenthal‡ July 2008; revised May 2009, DecNote: this version is now OUT OF DATE and Add to Reading List Source URL: probability.ca Language: English - Date: 2010-08-30 09:34:53
89	Bayes or Bootstrap? A Simulation Study Comparing the Performance of Bayesian Markov Chain Monte Carlo Sampling and Bootstrapping in Assessing Phylogenetic Confidence Michael E. Alfaro,* Stefan Zoller, and Franc¸ois Lu Add to Reading List Source URL: lutzonilab.org Language: English - Date: 2014-03-10 12:11:49
90	CONVERGENCE OF ADAPTIVE MARKOV CHAIN MONTE CARLO ALGORITHMS Yan Bai Dissertation submitted in conformity with the requirements Add to Reading List Source URL: probability.ca Language: English - Date: 2009-12-19 01:53:57