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Mixture theory
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#	Item
141	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: 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
142	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 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
143	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2014-04-25 09:55:31 Bayesian statistics Expectation–maximization algorithm Missing data Signal processing Wavelet Mixture model Normal distribution Likelihood function Marginal likelihood Statistics Probability and statistics Estimation theory
144	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
145	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
146	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
147	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
148	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
149	Mixture experiments: from D- to I-optimality Peter Goos* University of Antwerp, Antwerp, Belgium Erasmus University Rotterdam, Rotterdam, the Netherlands Bradley Jones Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:20 Statistical theory Quality Statistical methods Optimal design Optimality criterion Response surface methodology Mathematical optimization Estimation theory Statistics Operations research Design of experiments
150	PARTICLE FILTER BASED SOFT-MASK ESTIMATION FOR MISSING FEATURE RECONSTRUCTION Friedrich Faubel, Humza Raja, John McDonough, Dietrich Klakow Spoken Language Systems, Saarland University, D66123 Saarbr¨ucken, Germany {fri Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-05-12 13:23:16 Expectation–maximization algorithm Mixture model Noise Particle filter Statistics Estimation theory Maximum likelihood

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