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Expectation–maximization algorithm
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871	Clustering Mutational Spectra via Classi cation Likelihood and Markov Chain Monte Carlo Algorithms Mario MEDVEDOVIC, Paul SUCCOP, Rakesh SHUKLA, and Kathleen DIXON We have analyzed a set of 39 mutational spectra of the Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:56 Estimation theory Expectation–maximization algorithm Missing data Cluster analysis Gibbs sampling Normal distribution Multinomial distribution Statistics Multivariate statistics Machine learning
872	A Variational Approximation for Topic Modeling of Hierarchical Corpora Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-03-21 14:29:13 Statistical models Latent Dirichlet allocation Variational Bayesian methods Graphical models Expectation–maximization algorithm Topic model Mixture model Dirichlet distribution Dirichlet process Statistics Statistical natural language processing Bayesian statistics
873	Microsoft Word - Bayesian model averaging-BIOKDD04.doc Add to Reading List Source URL: eh3.uc.edu Language: English - Date: 2008-06-13 20:29:57 Statistical models Cluster analysis Multivariate statistics Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model K-means clustering Statistical classification Statistics Machine learning Bayesian statistics
874	A Unified Approach to Measurement Error and Missing Data: Details and Extensions∗ Matthew Blackwell† James Honaker‡ Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2014-04-14 12:48:46 Expectation–maximization algorithm Errors-in-variables models Likelihood function Sufficient statistic M-estimator Estimator Normal distribution Statistics Estimation theory Maximum likelihood
875	Learning to Predict Phases of Manipulation Tasks as Hidden States Oliver Kroemer, Herke van Hoof, Gerhard Neumann, and Jan Peters Abstract— Phase transitions in manipulation tasks often occur when contacts between obje Add to Reading List Source URL: www.ias.informatik.tu-darmstadt.de Language: English - Date: 2014-03-06 05:13:59 Hidden Markov model Markov chain Phase transition Kalman filter Expectation–maximization algorithm Stochastic matrix Robotics Markov models Statistics Probability and statistics
876	Contents Acknowledgments xxiii Add to Reading List Source URL: pgm.stanford.edu Language: English - Date: 2009-09-08 20:07:47 Probability theory Statistical models Networks Bayesian network Bayesian inference Markov random field Expectation–maximization algorithm Belief propagation Gibbs sampling Statistics Bayesian statistics Graphical models
877	BAYESIAN STATISTICS 7 Proceedings of the Seventh Valencia International Meeting Dedicated to Dennis V. Lindley June 2–6, 2002 Add to Reading List Source URL: www.uv.es Language: English - Date: 2004-11-05 07:32:55 Bayesian inference Bayes factor Markov chain Monte Carlo Hidden Markov model Expectation–maximization algorithm Generalized linear model Regression analysis Variational Bayesian methods Bayesian probability Statistics Bayesian statistics Bayesian network
878	Proc. Nati. Acad. Sci. USA Vol. 84, pp[removed], April 1987 Genetics Construction of multilocus genetic linkage maps in humans Add to Reading List Source URL: www.pnas.org Language: English - Date: 2005-04-22 19:50:50 Estimation theory Classical genetics Statistical genetics Genetic epidemiology Genetic linkage Elston–Stewart algorithm Expectation–maximization algorithm Maximum likelihood Polymorphism Statistics Genetics Biology
879	The MM Algorithm Kenneth Lange Departments of Biomathematics, Human Genetics, and Statistics UCLA Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2007-04-16 13:41:20 Mm algorithm Mathematical sciences Majorization Mathematical optimization Expectation–maximization algorithm Statistics Estimation theory Mathematics
880	Clustering by Local Skewering∗ David W. Scott Department of Statistics Rice University, Houston, Texas[removed]http://www.stat.rice.edu/∼scottdw March 31, 2005 Add to Reading List Source URL: www.stat.rice.edu Language: English - Date: 2005-03-31 16:32:38 Singular value decomposition Covariance and correlation Statistical inference Maximum likelihood Principal component analysis Multivariate normal distribution Mixture model Expectation–maximization algorithm Covariance matrix Statistics Estimation theory Data analysis

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