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Monte Carlo algorithm
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141	39. Monte Carlo techniques[removed]MONTE CARLO TECHNIQUES Revised September 2011 by G. Cowan (RHUL). Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables go Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2014-08-21 16:38:32 Non-uniform random numbers Mathematical analysis Normal distribution Gamma distribution Rejection sampling Inverse transform sampling Metropolis–Hastings algorithm Probability distribution Beta distribution Statistics Probability and statistics Monte Carlo methods
142	Entangled Monte Carlo Seong-Hwan Jun Liangliang Wang Alexandre Bouchard-Cˆot´e Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-25 03:54:25 Statistical inference Computational statistics Estimation theory Particle filter Robot control Resampling Algorithm Markov chain Bootstrapping Statistics Probability and statistics Monte Carlo methods
143	Accelerating Markov chain Monte Carlo via parallel predictive prefetching A dissertation presented by Elaine Lee Angelino Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-09-16 02:08:53 Markov models Bayesian statistics Markov chain Monte Carlo Metropolis–Hastings algorithm Bayesian inference Markov chain Parallel computing Statistics Probability and statistics Monte Carlo methods
144	Efficient Continuous-Time Markov Chain Estimation Monir Hajiaghayi [removed] Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada Bonnie Kirkpatrick [removed] Add to Reading List Source URL: www.stat.ubc.ca Language: English - Date: 2014-01-10 18:47:10 Estimation theory Statistical inference Computational statistics Markov chain Exponential distribution Hidden Markov model Normal distribution Maximum likelihood Metropolis–Hastings algorithm Statistics Monte Carlo methods Markov models
145	Accelerating Markov chain Monte Carlo via parallel predictive prefetching A dissertation presented by Elaine Lee Angelino to Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-09-16 02:08:50 Markov models Bayesian statistics Computational statistics Markov chain Monte Carlo Bayesian inference Metropolis–Hastings algorithm Markov chain Statistics Probability and statistics Monte Carlo methods
146	Package ‘turfR’ July 2, 2014 Type Package Title TURF Analysis for R Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:46:41 Algorithm Combination Binomial coefficient Monte Carlo method Matrix Mathematics Combinatorics TURF Analysis
147	Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Sam Patterson Gatsby Computational Neuroscience Unit University College London [removed] Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Statistical models Markov models Statistical natural language processing Expectation–maximization algorithm Markov chain Monte Carlo Fisher information Mixture model Markov chain Latent Dirichlet allocation Statistics Estimation theory Bayesian statistics
148	AIAA[removed]AIAA Guidance, Navigation, and Control Conference and Exhibit[removed]August 2006, Keystone, Colorado Robust Decentralized Task Assignment for Add to Reading List Source URL: acl.mit.edu Language: English - Date: 2011-06-05 16:48:16 Military terminology Unmanned aerial vehicle Consensus Probability and statistics Algorithm Monte Carlo method Applied mathematics Mathematics Signals intelligence
149	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2012-06-05 15:28:29 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
150	Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara School of Information & Computer Sciences, University of California, Irvine, CA 92617, USA Yutian Chen Department of Engineering, Universit Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Estimation theory Markov chain Monte Carlo Computational statistics Metropolis–Hastings algorithm Particle filter Markov chain Gibbs sampling Variance Estimator Statistics Monte Carlo methods Statistical inference

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