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Bayesian probability
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#	Item
991	Probabilistic Programming Andrew D. Gordon Thomas A. Henzinger Aditya V. Nori Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-02-03 11:01:04 Probability and statistics Markov models Non-classical logic Probabilistic logic Markov chain Bayesian network Bernoulli distribution Graphical model Probability distribution Statistics Bayesian statistics Statistical models
992	T HE ISBA B ULLETIN Vol. 20 No. 1 March[removed]The official bulletin of the International Society for Bayesian Analysis Add to Reading List Source URL: bayesian.org Language: English - Date: 2013-04-08 12:08:50 Bayesian inference Bayesian econometrics Bayesian probability Jacques Drèze Arnold Zellner Statistical inference Statistics Bayesian statistics International Society for Bayesian Analysis
993	Measure Transformer Semantics for Bayesian Machine Learning Johannes Borgstr¨om Andrew D. Gordon Michael Greenberg James Margetson Jurgen Van Gael July 2011 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-07-22 06:31:42 Statistical inference Statistical theory Bayesian inference Statistical forecasting Probability distribution Prior probability Bernoulli distribution Bayesian network Statistics Bayesian statistics Probability and statistics
994	Selective Sampling for Information Extraction with a Committee of Classifiers Evaluating Machine Learning for Information Extraction, Track 2 Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Parts of speech Machine learning Bayesian statistics Classifier Kullback–Leibler divergence Statistical classification Principle of maximum entropy Information extraction Statistics Statistical theory Probability and statistics
995	Learning Markov Structure by Maximum Entropy Relaxation Jason K. Johnson, Venkat Chandrasekaran and Alan S. Willsky∗ Laboratory for Information and Decision Systems Massachusetts Institute of Technology Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:50:21 Bayesian statistics Graphical models Statistical models Networks Statistical theory Markov random field Bayesian network Normal distribution Exponential family Statistics Probability and statistics Probability
996	Accelerating Markov chain Monte Carlo via parallel predictive prefetching A dissertation presented by Elaine Lee Angelino Add to Reading List Source URL: www.eecs.harvard.edu Language: English - Date: 2014-09-16 02:08:53 Markov models Bayesian statistics Markov chain Monte Carlo Metropolis–Hastings algorithm Bayesian inference Markov chain Parallel computing Statistics Probability and statistics Monte Carlo methods
997	Bayesian Analysis[removed], Number 2, pp. 439–476 Beta Processes, Stick-Breaking and Power Laws Add to Reading List Source URL: ba.stat.cmu.edu Language: English - Date: 2012-05-23 02:36:09 Bernoulli process Pitman–Yor process Dirichlet distribution Probability distribution Bernoulli distribution Chinese restaurant process Poisson process Point process Conjugate prior Statistics Stochastic processes Dirichlet process
998	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
999	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