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Mixture model
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#	Item
521	CORRELATION UNDER STRESS IN NORMAL VARIANCE MIXTURE MODELS Natalie Packham Joint work with Michael Kalkbrener Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2010-06-20 11:42:17 Covariance and correlation Mathematical finance Normal distribution Stress testing Correlation and dependence Multivariate normal distribution Mixture model Mixture distribution Statistics Probability and statistics Probability
522	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
523	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
524	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
525	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
526	The Logistic Random Field – A Convenient Graphical Model for Learning Parameters for MRF-based Labeling Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle University of Central Florida School of Elect Add to Reading List Source URL: www.eecs.ucf.edu Language: English - Date: 2008-06-17 17:00:32 Graphical models Theoretical computer science Image processing Segmentation Mixture model Conditional random field Loss function Linear regression Regression analysis Statistics Econometrics Machine learning
527	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
528	Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures Konstantinos Bousmalis1 , Stefanos Zafeiriou1 , Louis–Philippe Morency2 , Maja Pantic1 , and Zoubin Ghahramani3 1 Add to Reading List Source URL: multicomp.ict.usc.edu Language: English - Date: 2013-07-12 06:30:16 Statistical models Cluster analysis Machine learning Mixture model Markov chain Beta distribution Kullback–Leibler divergence Expectation–maximization algorithm Hidden Markov model Statistics Probability and statistics Markov models
529	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
530	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

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