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Monte Carlo algorithm
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181	Sex as Gibbs Sampling: a probability model of evolution Chris Watkins ∗and Yvonne Buttkewitz † Department of Computer Science Royal Holloway, University of London Egham, Surrey TW20 0EX, UK Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2014-02-16 04:27:54 Monte Carlo methods Markov models Statistical genetics Markov chain Gibbs sampling Dirichlet process Genetic algorithm Population genetics Mixture model Statistics Probability and statistics Markov chain Monte Carlo
182	Colloquium Finding scientific topics Thomas L. Griffiths†‡ and Mark Steyvers§ Department of Psychology, Stanford University, Stanford, CA 94305; †Department of Brain and Cognitive Sciences, Massachusetts Instit Add to Reading List Source URL: psiexp.ss.uci.edu Language: English - Date: 2004-10-11 11:58:17 Latent Dirichlet allocation Markov models Gibbs sampling Variational Bayesian methods Expectation–maximization algorithm Gamma function Markov chain Object categorization from image search Statistics Statistical natural language processing Markov chain Monte Carlo
183	PDF Document Add to Reading List Source URL: media.wiley.com Language: English - Date: 2014-04-21 16:22:40 Conjugate prior Markov chain Monte Carlo Prior probability Maximum likelihood Gibbs sampling Estimation theory Generalized linear model Metropolis–Hastings algorithm Marginal likelihood Statistics Bayesian statistics Bayesian inference
184	The Albuquerque Chapter of the American Statistical Association is pleased to bring you this one-day short course in Santa Fe. Information on location and registration will be posted at tinyurl.com/MonteCarloShortCourse. Add to Reading List Source URL: www.amstat.org Language: English - Date: 2012-06-03 17:39:41 Computational statistics Markov chain Monte Carlo Gibbs sampling Rejection sampling Monte Carlo integration Markov chain Metropolis–Hastings algorithm Importance sampling Clinical trial Monte Carlo methods Statistics Probability and statistics
185	383 Index a acceptance probability Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2014-07-01 21:03:33 Statistical mechanics Differential equations Monte Carlo methods Equations Stochastic differential equation Gillespie algorithm Normal distribution Stochastic Ising model Statistics Probability and statistics Stochastic processes
186	LESSON 1 AN INTRODUCTION TO MCMC SAMPLING METHODS Recommended Texts Unfortunately it is di¢ cult to recommend a single book that satisfactorily covers all the material in the course. The following two are recommended: N Add to Reading List Source URL: www.statistics.com Language: English - Date: 2013-12-12 11:51:12 Estimation theory Computational statistics Bayesian statistics Maximum likelihood Markov chain Monte Carlo Metropolis–Hastings algorithm Bayesian inference Statistics Monte Carlo methods Statistical theory
187	Metropolis Light Transport Eric Veach Leonidas J. Guibas Computer Science Department Add to Reading List Source URL: www-graphics.stanford.edu Language: English - Date: 1997-06-23 16:44:54 Computational statistics Probability and statistics Path tracing Metropolis light transport Ray tracing Metropolis–Hastings algorithm Rendering Variance Monte Carlo integration 3D computer graphics Monte Carlo methods Statistics
188	Monte Carlo Go Bernd Br¨ ugmann Max-Planck-Institute of Physics F¨ohringer Ring[removed]M¨ Add to Reading List Source URL: www.althofer.de Language: English - Date: 2009-11-23 10:59:13 Game artificial intelligence Monte Carlo methods Search algorithms Simulated annealing Alpha-beta pruning Computer Go Algorithm Computer chess Travelling salesman problem Mathematics Games Applied mathematics
189	Technical Report On the Laziness of Monte-Carlo Game Tree Search in Non-tight Situations September 8, 2008 Add to Reading List Source URL: www.althofer.de Language: English - Date: 2008-05-05 04:54:24 Game artificial intelligence Video board games Computer Go Go Reinforcement learning Game theory Algorithm Ply Monte Carlo method Applied mathematics Games Science
190	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems Kenneth L. Judd, Lilia Maliar and Serguei Maliar Stanford University, 2012 Add to Reading List Source URL: stanford.edu Language: English - Date: 2012-11-08 23:41:32 Maliar Surnames Monte Carlo integration Curse of dimensionality Algorithm Ergodic theory Asia Numerical analysis Mathematics Applied mathematics

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