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Markov chain Monte Carlo
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#	Item
181	A Particle Filter algorithm for Bayesian Wordsegmentation Mark Johnson Department of Computing Macquarie University Sydney [removed] Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2011-12-09 02:13:49 Monte Carlo methods Markov models Estimation theory Natural language processing Particle filter N-gram Segmentation Language model Markov chain Monte Carlo Statistics Probability and statistics Computational statistics
182	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 35, NO. 8, AUGUST 2013 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Gibbs sampling Markov chain Monte Carlo Bayesian inference Layers Hierarchical Bayes model Pattern recognition Statistics Bayesian statistics Machine learning
183	Microsoft Word - combined report Add to Reading List Source URL: www.cofs.uwa.edu.au Language: English - Date: 2013-09-03 04:00:54 Mathematics Monte Carlo method Numerical analysis Probabilistic complexity theory Markov chain Shear strength Stochastic Probability Slope stability analysis Statistics Probability and statistics Markov models
184	SJNW902-03-NO00008769.tex Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2006-07-05 11:20:50 Monte Carlo methods Normal distribution Markov chain Metropolis–Hastings algorithm WinBUGS Gamma distribution Statistics Probability and statistics Markov models
185	PARAMETER AND STATE MODEL REDUCTION FOR LARGE-SCALE STATISTICAL INVERSE PROBLEMS CHAD LIEBERMAN∗ , KAREN WILLCOX† , AND OMAR GHATTAS‡ Abstract. A greedy algorithm for the construction of a reduced model with reduct Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2010-09-23 10:19:59 Markov models Monte Carlo methods Statistical theory Markov chain Monte Carlo Inverse problem Parameter space Markov chain Estimation theory Bayesian inference Statistics Statistical inference Bayesian statistics
186	STATISTICS IN MEDICINE Statist. Med. 2009; 28:2202–2229 Published online in Wiley InterScience (www.interscience.wiley.com) DOI: [removed]sim[removed]Respondent-driven sampling as Markov chain Monte Carlo Add to Reading List Source URL: 5harad.com Language: English - Date: 2014-09-24 20:04:52 Signal processing Markov models Estimation theory Estimator Variance Bias of an estimator Importance sampling Markov chain Sampling Statistics Statistical inference Monte Carlo methods
187	Bayesian Structural Equation Models: A Health Application Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:54:47 Hierarchical Bayes model Latent variable Prior probability Structural equation modeling Graphical model Gibbs sampling Strong prior Markov chain Monte Carlo Bayesian network Statistics Bayesian statistics Bayesian inference
188	Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems M. Frangos, Y. Marzouk, K. Willcox, Massachusetts Institute of Technology; B. van Bloemen Waanders, Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2010-09-23 10:19:58 Econometrics Measurement Statistical inference Statistical theory Inverse problem Monte Carlo method Dimensional analysis Markov chain Monte Carlo Estimator Statistics Probability and statistics Estimation theory
189	Continuous Relaxations for Discrete Hamiltonian Monte Carlo Yichuan Zhang, Charles Sutton, Amos Storkey School of Informatics University of Edinburgh United Kingdom Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-05-06 05:06:36 Graphical models Probability theory Markov chain Monte Carlo Markov models Gibbs sampling Normal distribution Boltzmann machine Partition function Bayesian inference Statistics Probability and statistics Monte Carlo methods
190	Mathematics and Statistics Undergraduate Handbook Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-11 05:45:31 Markov models Computational statistics Cybernetics Coalescent theory Markov chain Monte Carlo Stochastic Graph theory Markov chain Random graph Statistics Science Information