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Markov chain Monte Carlo
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51	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
52	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
53	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
54	Lancaster University Exact approximate Markov chain Monte Carlo Supervisor: Add to Reading List Source URL: www.lancaster.ac.uk Language: English - Date: 2015-04-23 07:02:07
55	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
56	An Evaluation of Models for Predicting Opponent Positions in First-Person Shooter Video Games Stephen Hladky and Vadim Bulitko filters to predict opponent positions in first-person shooter (FPS) video games. These models Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:42 Statistics Monte Carlo methods Probability theory Estimation theory Robot control Nonparametric statistics Markov models Particle filter Prediction Hidden semi-Markov model Resampling Markov chain
57	Comput Stat DOIs00180ORIGINAL PAPER Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2012-12-03 12:18:36
58	1 C 4 : Exploring Multiple Solutions in Graphical Models by Cluster Sampling Jake Porway and Song-Chun Zhu Abstract—This paper presents a novel Markov Chain Monte Carlo (MCMC) inference algorithm called C 4 – Cluste Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2012-11-02 15:10:07
59	Markov chain Monte Carlo Roadmap: — Monte Carlo basics — What is MCMC? — Gibbs and Metropolis–Hastings Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-04-28 11:12:42
60	Bayesian generalised ensemble Markov chain Monte Carlo Jes Frellsen University of Cambridge Ole Winther Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2016-05-10 05:32:34