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Markov chain Monte Carlo
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161	MONTE CARLO SIMULATIONS Current physics research 1) Theoretical 2) Experimental 3) Computational Monte Carlo (MC) Methodused to Add to Reading List Source URL: www.complex.nbi.dk Language: English - Date: 2006-08-25 11:14:02 Statistical mechanics Markov models Monte Carlo methods Markov processes Ising model Markov chain Detailed balance Metropolis–Hastings algorithm Importance sampling Physics Statistics Probability and statistics
162	INTERVIEWS ISBA Bulletin, 18(1), March 2011 INTERVIEWS Add to Reading List Source URL: probability.ca Language: English - Date: 2011-10-06 08:38:00 Computational statistics Markov chain Monte Carlo Markov chain Statistical models Stochastic process Statistics Markov models Monte Carlo methods
163	Microsoft Word - JSS_Arnaud Doucet_2_Nov_09.doc Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2009-11-01 22:31:47 Monte Carlo methods Computational statistics Markov chain Monte Carlo Markov chain Particle filter Just another Gibbs sampler Statistics Probability and statistics Markov models
164	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-01-26 08:34:54 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
165	On the order fill rate in a multi-item, base-stock inventory Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2007-11-20 04:00:00 Autoregressive conditional heteroskedasticity Econometrics Computational statistics Monte Carlo methods Estimation theory Markov chain Statistics Markov models Time series analysis
166	CS-TR-4956 UMIACS-TRLAMP-TR-153 June 2010 Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-01-03 11:18:10 Monte Carlo methods Markov models Markov chain Monte Carlo Estimation theory Markov chain Expectation–maximization algorithm Gibbs sampling Importance sampling Bayesian inference Statistics Probability and statistics Bayesian statistics
167	CS294 Markov Chain Monte Carlo: Foundations & Applications Fall 2009 Lecture 16: October 29 Lecturer: Alistair Sinclair Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-11-09 01:40:53 Computer-mediated communication Spam Email marketing Email service provider Email Internet Computing
168	Bibliography on quasirandomness and quasi-Monte Carlo [Alon and Spencer[removed]Alon, Noga, and Joel H. Spencer[removed]The Probabilistic Method. Second edition. New York: Wiley-Interscience. [Andreev, Clementi and Rolim 19 Add to Reading List Source URL: bit-player.org Language: English - Date: 2015-02-08 06:37:36 Applied mathematics Numerical analysis Probabilistic complexity theory Quasi-Monte Carlo method Markov chain Monte Carlo Low-discrepancy sequence Randomized algorithm Stochastic Monte Carlo integration Mathematics Randomness Monte Carlo methods
169	Supplement to ”Atmospheric inverse modeling with known physical bounds: an example from trace gas emissions” Scot M. Miller, Anna M. Michalak, and Patricia J. Levi This supplement describes in greater detail the mult Add to Reading List Source URL: www.geosci-model-dev.net Language: English - Date: 2014-12-04 04:35:21 Probability and statistics Gibbs sampling Metropolis–Hastings algorithm Realization Normal distribution Prior probability Multiple-try Metropolis Markov chain Monte Carlo Statistics Monte Carlo methods
170	Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models Sameer Singh§ Amarnag Subramanya† Fernando Pereira† Andrew McCallum§ § Department of Computer Science, University of Massa Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2011-05-20 17:36:16 Machine learning Data analysis Computational linguistics Speech recognition Coreference Cluster analysis Information extraction Markov chain Monte Carlo Record linkage Statistics Natural language processing Science

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