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Expectation–maximization algorithm
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181	Bayesian Estimation of Sparse Smooth Speckle Shape Models for Motion Tracking in Medical Ultrasound Shaun Bundervoet, Colas Schretter, Ann Dooms and Peter Schelkens Vrije Universiteit Brussel, Dept. of Electronics and In Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:12 Econometrics Expectation–maximization algorithm Missing data Gaussian function Mixture model Autoregressive conditional heteroskedasticity Speckle tracking echocardiography Maximum likelihood Multivariate normal distribution Statistics Estimation theory Statistical models
182	PDF Document Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2013-11-09 11:34:07 Machine learning Face recognition Expectation–maximization algorithm Missing data Eigenface Projection Pattern recognition Facial recognition system Linear discriminant analysis Statistics Multivariate statistics Estimation theory
183	M PRA Munich Personal RePEc Archive A misspecification test for finite-mixture logistic models for clustered binary and ordered responses Add to Reading List Source URL: mpra.ub.uni-muenchen.de Language: English - Date: 2015-05-08 12:10:18 Regression analysis Actuarial science Econometrics Expectation–maximization algorithm Maximum likelihood Fisher information Mixture model Generalized linear model Normal distribution Statistics Estimation theory Statistical models
184	Phase-Type Distributions for Competing Risks Bo Henry Lindqvist Norwegian University of Science and Technology, Trondheim, NORWAY e-mail: Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Regression analysis Statistical models Econometrics Markov chain Phase-type distribution Proportional hazards models Expectation–maximization algorithm Stochastic matrix Gibbs sampling Statistics Markov models Markov processes
185	PAOLA ANTONELLO* AN APPLICATION OF EM ALGORITHM TO ANALYSE AND FORECAST LONG-RUN I-O COEFFICIENT CHANGES Paper to be presented at the 17th International Input-Output Conference Add to Reading List Source URL: www.iioa.org Language: English - Date: 2009-10-17 10:03:36 Estimation theory Markov chain Expectation–maximization algorithm Matrix Bioinformatics Statistics Markov models Markov processes
186	Structural Equation Models: Mixture Models Jeroen K. Vermunt Department of Methodology and Statistics Tilburg University Jay Magidson Statistical Innovations Inc. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:16 Mixture model Latent class model Expectation–maximization algorithm Cluster analysis Covariance Linear discriminant analysis Multivariate normal distribution Factor analysis Statistics Multivariate statistics Structural equation modeling
187	OF Robotics and Autonomous Systems–15 Solving weak transduction with expectation maximization Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2002-10-28 22:52:26 Statistical theory M-estimators Expectation–maximization algorithm Missing data Reinforcement learning Likelihood function Kullback–Leibler divergence Maximum likelihood Conjugate prior Statistics Estimation theory Bayesian statistics
188	STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-03-03 12:04:50 Graphical models Networks Machine learning Bayesian network Speech recognition Mutual information Expectation–maximization algorithm Hidden Markov model Generative model Statistics Statistical models Bayesian statistics
189	Using a Mixture Latent Markov Model to Analyze Longitudinal U.S. Employment Data Involving Measurement Error Jay Magidson,1 Jeroen K. Vermunt,2 and Bac Tran3 (1) Statistical Innovations Inc., Belmont, MA., U.S. (2) Depar Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-01-24 10:25:02 Markov processes Categorical data Econometrics Latent class model Expectation–maximization algorithm Hidden Markov model Markov chain Latent variable Markov property Statistics Markov models Statistical models
190	Quantifying Herding Effects in Crowd Wisdom Ting Wang Dashun Wang Fei Wang Add to Reading List Source URL: dashunwang.com Language: English - Date: 2014-08-28 01:53:29 Maximum likelihood Likelihood function Expectation–maximization algorithm Dimensional analysis Factorial Estimation theory Statistics Mathematics

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