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Graphical models
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#	Item
791	The Annals of Statistics 2012, Vol. 40, No. 4, 1935–1967 DOI: [removed]AOS949 © Institute of Mathematical Statistics, 2012 LATENT VARIABLE GRAPHICAL MODEL SELECTION VIA Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-07 21:35:11 Multivariate statistics Data analysis Summary statistics Expectation–maximization algorithm Matrix Latent variable model Multivariate normal distribution Covariance matrix Principal component analysis Statistics Covariance and correlation Statistical models
792	Tony Jebara, Columbia University Machine Learning 4771 Instructor: Tony Jebara Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2012-11-13 14:39:20 Bayesian network Networks Independence Naive Bayes classifier Graphical model Statistics Bayesian statistics Statistical models
793	Efficient Test Selection in Active Diagnosis via Entropy Approximation Alice X. Zheng Department of EECS U. C. Berkeley Berkeley, CA[removed] Add to Reading List Source URL: alicezheng.org Language: English - Date: 2013-11-10 20:07:14 Statistical theory Probability theory Bayesian statistics Networks Belief propagation Kullback–Leibler divergence Information theory G-test Bayesian network Statistics Probability and statistics Graphical models
794	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models
795	Exploiting Sparse Markov and Covariance Structure in Multiresolution Models Myung Jin Choi MYUNGJIN @ MIT. EDU Venkat Chandrasekaran VENKATC @ MIT. EDU Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:41 Covariance and correlation Algebra of random variables Graphical models Covariance matrix Markov random field Multivariate normal distribution Sparse matrix Matrix Normal distribution Statistics Probability theory Data analysis
796	Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) Ross D. Shachter Engineering-Economic Systems and Operations Research Dept. Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2006-05-16 12:30:57 Graph theory Networks Graphical models Diagrams Influence diagram Bayesian network Directed acyclic graph Statistics Bayesian statistics Statistical models
797	Conditional Independence Lecture 2: Directed Graphical Models • Notation: xA ⊥ xB \|xC Definition: two (sets of) variables xA and xB are conditionally Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-10-06 18:57:12 Probability theory Probability and statistics Graphical model Independence Joint probability distribution Probability Constraint programming Maths24 COMPASS/Sample Code Statistics Bayesian statistics Statistical models
798	MAXIMUM ENTROPY RELAXATION FOR GRAPHICAL MODEL SELECTION GIVEN INCONSISTENT STATISTICS Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky Laboratory for Information and Decision Systems Department of Electrical Eng Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-02-01 13:45:54 Bayesian statistics Information theory Statistical models Exponential family Expectation–maximization algorithm Maximum likelihood Principle of maximum entropy Fisher information Entropy Statistics Estimation theory Statistical theory

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