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Gibbs sampling
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231	Scalable Inference in Latent Variable Models ∗ Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander Smola Yahoo! Research, Santa Clara, CA, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-26 21:38:12 Latent variable Gibbs sampling Latent Dirichlet allocation Bayesian network Mixture model Variable Parallel computing Latent class model Variational Bayesian methods Statistics Statistical models Latent variable model
232	Bayesian data analysis: what it is and what it is not Prof. Andrew Gelman Dept. of Statistics Columbia University Talk for Columbia University Department of Computer Science, 15 Dec 2003 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2006-01-25 08:09:31 Bayesian inference Radon Prior probability Gibbs sampling Regression analysis Health effects of radon Statistical inference Statistics Bayesian statistics Bayesian probability
233	D RAFT COPY; TO APPEAR IN : IEEE T RANS . K NOWLEDGE & DATA E NGINEERING c 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising 1 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-12-05 15:06:20 Topic model Linear discriminant analysis Gibbs sampling Algorithm Stability Belief propagation Statistical power Statistics Statistical natural language processing Latent Dirichlet allocation
234	Distributed Inference for Latent Dirichlet Allocation David Newman, Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine newman,asuncion,smyth,welling @ics.uci.ed Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-10-31 18:54:19 Latent Dirichlet allocation Linear discriminant analysis Machine learning Parallel computing Algorithm Gibbs sampling Mixture model Speedup Expectation–maximization algorithm Statistics Statistical natural language processing Statistical classification
235	Fast Collapsed Gibbs Sampling For Latent Dirichlet Allocation Ian Porteous David Newman Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-10-31 18:54:20 Dirichlet process Linear discriminant analysis Mixture model Topic model Speedup Gibbs sampling Sampling Statistics Statistical natural language processing Latent Dirichlet allocation
236	THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation Yee Whye Teh Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-10-31 18:54:20 Statistical models Graphical models Variational Bayesian methods Latent Dirichlet allocation Gibbs sampling Bayesian network Normal distribution Marginal likelihood Mixture model Statistics Bayesian statistics Probability and statistics
237	P2: ABC JWST177-Lesaffre April 1, [removed]:23 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-09-01 13:13:10 Monte Carlo methods Markov chain Monte Carlo Statistical inference Gibbs sampling Bayesian network Empirical Bayes method Inverse probability Deviance information criterion Expectation–maximization algorithm Statistics Bayesian statistics Markov models
238	P2: ABC JWST177-Lesaffre June 4, [removed]:32 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-09-01 13:13:10 Bayes factor Statistical inference Bayesian linear regression Loss function Bayesian network Empirical Bayes method Bayesian VAR Gibbs sampling Prior probability Statistics Bayesian statistics Bayesian inference
239	MARKOV CHAIN MONTE CARLO METHOD APPLIED TO ROUNDING ZEROS OF COMPOSITIONAL DATA: FIRST APPROACH J. A. Martín-Fernández1 , J. Palarea-Albaladejo2 , J. Gómez-García3 Universitat de Girona, Departament d’Informàtica Add to Reading List Source URL: ima.udg.edu Language: English - Date: 2003-09-19 10:29:06 Imputation Expectation–maximization algorithm Average Standard deviation Compositional data Algorithm Missing data Gibbs sampling Variance Statistics Data analysis Estimation theory

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