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Mixture model
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#	Item
351	1 LATENT CLASS CLUSTER ANALYSIS Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:56 Multivariate statistics Statistical models Psychometrics K-means clustering Latent class model Mixture model Expectation–maximization algorithm Multivariate normal distribution Probability distribution Statistics Cluster analysis Machine learning
352	Latent class models for clustering: A comparison with K-means Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Tilburg University Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:43 K-means clustering Unsupervised learning Mixture model Logistic regression Consensus clustering Statistics Machine learning Cluster analysis
353	J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Add to Reading List Source URL: www.math.ntnu.no Language: English - Date: 2011-12-21 15:18:36 Estimation theory Markov models Probability theory Variational Bayesian methods Mixture model Normal distribution Marginal likelihood Deviance information criterion Gaussian process Statistics Probability and statistics Bayesian statistics
354	A Comparison on Consistency of Parameter Estimation Using Optimization Methods for a Mixture Marianne C. Turley E. David Ford Add to Reading List Source URL: www.nrcse.washington.edu Language: English - Date: 2001-08-14 12:46:34 Statistical inference Maximum likelihood Estimator Expectation–maximization algorithm Bias of an estimator Mathematical optimization Consistent estimator Statistic Mixture model Statistics Estimation theory Statistical theory
355	LETTER Communicated by Michael Lewicki Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2006-10-05 18:40:25 Probability Statistical models Machine learning Estimation theory Normal distribution Generative model Expectation–maximization algorithm Filter Mixture model Statistics Probability and statistics Filter theory
356	Latent Class Analysis Jeroen K. Vermunt & Jay Magidson The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroup Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:48 Econometrics Categorical data Multivariate statistics Latent class model Expectation–maximization algorithm Latent variable model Structural equation modeling Logistic regression Mixture model Statistics Regression analysis Statistical models
357	9 MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS Jeroen K. Vermunt* Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-10-27 13:09:12 Econometrics Statistical models Categorical data Imputation Data analysis Poisson regression Maximum likelihood Missing data Mixture model Statistics Estimation theory Regression analysis
358	Time-variation in market efficiency: a mixture-of-distributions approach John P. Hussman, Ph.D. AprilThis paper has been reprinted and distributed for academic and informational purposes only. Add to Reading List Source URL: www.hussmanfunds.com Language: English - Date: 2012-05-22 22:51:14 Economics Mathematical finance Financial markets Investment Sharpe ratio Rate of return P/E ratio Capital asset pricing model Dividend Financial economics Financial ratios Finance
359	Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:57 Latent Dirichlet allocation Dynamic topic model Variational Bayesian methods Topic model Hidden Markov model Calculus of variations Mixture model Bayesian inference Dirichlet process Statistics Statistical natural language processing Bayesian statistics
360	IEEE SIGNAL PROCESSING LETTERS, VOL. X, NO. X, Probabilistic Linear Discriminant Analysis for Acoustic Modelling Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-03-21 12:09:58 Markov models Statistical models Statistical classification Speech recognition Hidden Markov model Mixture model Linear discriminant analysis Generalized method of moments Mel-frequency cepstrum Statistics Estimation theory Bayesian statistics

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