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Mixture theory
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#	Item
211	Ann Inst Stat Math[removed]:11–35 DOI[removed]s10463[removed]Latent class analysis variable selection Nema Dean · Adrian E. Raftery Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 17:10:09 Model selection Categorical data Regression analysis Expectation–maximization algorithm Latent class model Bayesian information criterion Mixture model Feature selection Maximum likelihood Statistics Statistical models Estimation theory
212	Assignment Discovery Online Curriculum Lesson title: The Case of Similar Substances Grade level: 6-8 Subject Area: Add to Reading List Source URL: school.discoveryeducation.com Language: English - Date: 2002-01-10 17:05:17 Matter Substance theory Properties of water ANSAC Mixture Chemistry Nature Chemical substance
213	Parameterization and Bayesian Modeling Andrew G ELMAN Progress in statistical computation often leads to advances in statistical modeling. For example, it is surprisingly common that an existing model is reparameterized, Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-08-15 15:32:42 Statistical models Estimation theory Statistical theory Linear regression Bayesian linear regression Mixture model Expectation–maximization algorithm Gibbs sampling Generalized linear model Statistics Regression analysis Bayesian statistics
214	Incremental Learning of Nonparametric Bayesian Mixture Models Ryan Gomes∗ Max Welling† ∗ Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-04-09 01:39:03 Cluster analysis Data analysis Estimation theory Expectation–maximization algorithm Dirichlet process Variational Bayesian methods Mixture model Principal component analysis Kernel principal component analysis Statistics Multivariate statistics Machine learning
215	A Probabilistic Approach to Spatiotemporal Theme Pattern Mining on Weblogs Qiaozhu Mei† , Chao Liu† , Hang Su‡ ChengXiang Zhai† † Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2006-08-29 15:06:19 Statistical models Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Affect Event Probabilistic latent semantic analysis Self-organization Statistics Estimation theory Statistical theory
216	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 13:02:02 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
217	Estimation of Item Response Models Using the EM Algorithm for Finite Mixtures Add to Reading List Source URL: act.org Language: English - Date: 2015-01-06 13:08:25 Estimation theory Educational psychology Expectation–maximization algorithm Missing data Rasch model Mixture model Latent variable Maximum likelihood Parameter Statistics Statistical models Psychometrics
218	FITTING A MIXTURE MODEL BY EXPECTATION MAXIMIZATION TO DISCOVER MOTIFS IN BIOPOLYMERS UCSD Technical Report CS94-351 TIMOTHY L. BAILEY Add to Reading List Source URL: www.sdsc.edu Language: English - Date: 2005-04-20 01:49:51 Machine learning Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Mixture model Likelihood-ratio test Logarithm Supervised learning Statistics Estimation theory Statistical theory
219	Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs Qiaozhu Mei† , Xu Ling† , Matthew Wondra† , Hang Su‡ , ChengXiang Zhai† † Department of Computer Science Add to Reading List Source URL: sifaka.cs.uiuc.edu Language: English - Date: 2007-04-26 22:35:55 Natural language processing Statistical theory Topic model Sentiment analysis Probabilistic latent semantic analysis Latent Dirichlet allocation Mixture model Language model Information retrieval Statistics Statistical natural language processing Probability and statistics
220	Who Killed the Directed Model? Justin Domke, Alap Karapurkar, and Yiannis Aloimonos Department of Computer Science University of Maryland {domke,karapurk,yiannis}@cs.umd.edu Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2008-04-07 18:18:38 Bayesian statistics Statistical models Estimation theory Graphical models Markov random field Mixture model Maximum likelihood Kullback–Leibler divergence Hidden Markov model Statistics Probability and statistics Statistical theory

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