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Gibbs sampling
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151	Input-Output Analysis and Econometrics: a Discussion of Some Key Issues with an Example from the Theory of Production Matteo Manera and Bruno Sitzia Department of Economics Add to Reading List Source URL: www.iioa.org Language: English - Date: 2007-10-09 05:36:12 Bayes estimator Gibbs sampling Bayesian inference Multivariate normal distribution Production function Conjugate prior Thurstonian model Statistics Bayesian statistics Prior probability
152	DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL Matthew D. Hoffman† , Perry R. Cook†‡ , David M. Blei† Princeton University †Dept. of Computer Science ‡Dept. of Music Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Probability and statistics Hidden Markov model Markov chain Speech recognition Stochastic matrix Viterbi algorithm Expectation–maximization algorithm Gibbs sampling Hierarchical hidden Markov model Markov models Statistics Machine learning
153	Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic processes Bayesian statistics Statistical models Probability theory Dirichlet process Formal grammar Pitman–Yor process Gibbs sampling Inside-outside algorithm Statistics Probability and statistics Formal languages
154	egu_logo_without_circle_grey Add to Reading List Source URL: water.columbia.edu Language: English - Date: 2014-05-08 11:29:46 Econometrics Actuarial science Linear regression Bayesian linear regression Regularization Hierarchical Bayes model Gibbs sampling Statistics Regression analysis Bayesian statistics
155	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Integrative biostatistical approach shows better performance in missing data analysis using l Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:11:13 Missing data Scientific method Graphical models Imputation Bayesian network Gibbs sampling Expectation–maximization algorithm Latent variable Causality Statistics Data analysis Statistical models
156	Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Delip Raoa Michael Paula Clay Finkb David Yarowskya Timothy Oatesc,a Glen Coppersmitha a Human Language Technology Center of Excellence, Johns H Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2011-04-08 08:59:42 Machine learning Model selection Cluster analysis Mixture model Prior probability Latent Dirichlet allocation Hierarchical Bayes model Gibbs sampling Cross-validation Statistics Probability Bayesian statistics
157	Missing Data Problems in Machine Learning by Benjamin M. Marlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-06-29 08:36:54 Statistical classification Linear classifier Expectation–maximization algorithm Generative model Bayesian inference Regression analysis Mixture model Unsupervised learning Gibbs sampling Statistics Machine learning Supervised learning
158	Estimating Hidden Population Size using Respondent-Driven Sampling Data Mark S. Handcock∗ Krista J. Gile† Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-09-27 20:20:52 Statistical inference Sampling distribution Bayesian inference Sampling Poisson distribution Sample size determination Maximum likelihood Statistics Statistical theory Gibbs sampling
159	U:MDLECR.7-ISSUESLECR[removed]LECR[removed]DVI Add to Reading List Source URL: www.atl-res.com Language: English - Date: 2007-05-10 21:42:17 Estimation theory Statistical theory Maximum likelihood Gibbs sampling Likelihood function Likelihood-ratio test Prior probability Mixture model Parameter Statistics Probability and statistics Bayesian statistics
160	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

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