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Expectation–maximization algorithm
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231	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
232	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
233	Bayesian inference for hedge funds with stable distribution of returns by Biliana Güner, Svetlozar T. Rachev, Daniel Edelman, Frank J. Fabozzi Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2010-09-30 12:18:22 Statistical theory Statistical inference Bayesian inference Autoregressive conditional heteroskedasticity Prior probability Exponential distribution Expectation–maximization algorithm Stable distribution Gamma distribution Statistics Bayesian statistics Estimation theory
234	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
235	7 MULTILEVEL LATENT CLASS MODELS Jeroen K. Vermunt* The latent class (LC) models that have been developed so far assume that observations are independent. Parametric and nonparametric random-coefficient LC models are pro Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:01 Psychometrics Estimation theory Actuarial science Multilevel model Expectation–maximization algorithm Item response theory Latent class model Non-parametric statistics Normal distribution Statistics Statistical models Econometrics
236	Rates of Convergence for Data Augmentation on Finite Sample Spaces by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN 55455, USA (Appeared in Annals of Applied Probability), 8 Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 20:51:05 Markov chain Completeness Gibbs sampling Expectation–maximization algorithm Fisher information Statistics Statistical theory Estimation theory
237	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
238	Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Series Modeling Yan Liu, Mohammad Taha Bahadori {yanliu.cs, }@usc.edu Computer Science Department, University of Southern Californ Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:14 Actuarial science Statistical dependence Multivariate statistics Expectation–maximization algorithm Copula Generalized extreme value distribution Normal distribution Linear regression Causality Statistics Econometrics Estimation theory
239	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
240	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

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