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Expectation–maximization algorithm
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651	Microsoft Word - MSA06TechReport.doc Add to Reading List Source URL: marylandpublicschools.org Language: English - Date: 2013-08-22 16:22:47 Polytomous Rasch model Expectation–maximization algorithm Maximum likelihood Anton Formann Nambury S. Raju Statistics Psychometrics Estimation theory
652	Journal of Machine Learning Research[removed]1859 Submitted 5/06; Revised 8/06; Published 9/06 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-09-13 18:29:49 M-estimators Maximum likelihood Exponential family Cumulant Sufficient statistic Expectation–maximization algorithm Statistics Estimation theory Statistical theory
653	Privacy Aware Learning 1 John C. Duchi1 Michael I. Jordan1,2 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:48:07 Information theory Decision theory Econometrics Loss function Mutual information Dimensional analysis Divergence Maximum likelihood Expectation–maximization algorithm Statistics Statistical theory Estimation theory
654	movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions Kurt Hornik Bettina Gru ¨n Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-03 14:41:25 Probability distributions Bayesian statistics Statistical models Von Mises distribution Expectation–maximization algorithm Mixture model Maximum likelihood Mixture distribution Von Mises–Fisher distribution Statistics Estimation theory Directional statistics
655	Package ‘movMF’ July 3, 2014 Version[removed]Encoding UTF-8 Title Mixtures of von Mises-Fisher Distributions Description Fit and simulate mixtures of von Mises-Fisher distributions. Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-03 14:41:25 Estimation theory Von Mises–Fisher distribution Statistical theory Expectation–maximization algorithm Maximum likelihood Mixture distribution Exponential family Degrees of freedom Von Mises Statistics Directional statistics Probability distributions
656	Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data∗ Ashok N. Srivastava, Ph.D.† September 15, 2003 This paper was submitted to the 2004 SIAM Data Mining Conference on September 15, 2003. Add to Reading List Source URL: www.riacs.edu Language: English - Date: 2006-05-22 00:23:38 Cluster analysis Fisher kernel Information retrieval Gaussian function Mixture model Kernel Dirac delta function Expectation–maximization algorithm Support vector machine Statistics Non-parametric statistics Statistical classification
657	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria http://www.ci.tuwien.ac.at/Conferences Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:16:38 Psychometrics Estimation theory Expectation–maximization algorithm Missing data Latent variable Scientific modelling Mathematical model Autoregressive integrated moving average Stepwise regression Statistics Statistical models Regression analysis
658	topicmodels: An R Package for Fitting Topic Models Bettina Gru ¨n Kurt Hornik Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:44:43 Bayesian statistics Statistical theory Statistical models Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood Mixture model Normal distribution Likelihood function Statistics Estimation theory Statistical natural language processing
659	Discrete dynamic models: A HMM approach to estimation and forecasting using panel survey data Tiago Ribeiro1 November 6, 2002 Add to Reading List Source URL: elsa.berkeley.edu Language: English - Date: 2003-01-27 18:15:27 Hidden Markov model Expectation–maximization algorithm XT Statistics Estimation theory Bioinformatics
660	BJPaper_SNIcens_Dec2011_CorrectedVersion.dvi Add to Reading List Source URL: www.sph.umn.edu Language: English - Date: 2012-11-09 11:20:45 Conjugate prior Normal distribution Gamma distribution Data transformation Expectation–maximization algorithm Kullback–Leibler divergence Maximum likelihood Markov chain Symbol Statistics Estimation theory Statistical theory

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