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Maximum entropy probability distribution
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31	DEPARTMENT OF ECONOMICS UNIVERSITY OF CYPRUS THE MM, ME, ML, EL, EF AND GMM APPROACHES TO ESTIMATION: A SYNTHESIS Add to Reading List Source URL: www.ucy.ac.cy Language: English - Date: 2013-07-03 07:17:13 Estimation theory Information theory Normal distribution Uniform distribution Principle of maximum entropy Entropy Maximum likelihood Generalized method of moments Akaike information criterion Statistics Probability and statistics Statistical theory
32	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
33	Maximum Entropy Models for Named Entity Recognition Oliver Bender and Franz Josef Och and Hermann Ney Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:47:13 Probability Statistical theory Bayesian statistics Information theory Speech recognition Entropy Natural language processing Principle of maximum entropy Normal distribution Statistics Probability and statistics Computational linguistics
34	4 Information in Physical Systems What is information? A good answer is that information is what you don’t already know. You do not learn much from being told that the sun will rise tomorrow morning; you learn a great Add to Reading List Source URL: academy.cba.mit.edu Language: English - Date: 2013-02-25 23:29:12 Information Kullback–Leibler divergence Additive white Gaussian noise Entropy Differential entropy Mutual information Channel capacity Normal distribution Principle of maximum entropy Statistics Information theory Probability and statistics
35	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:20 Markov chain Expectation–maximization algorithm Kullback–Leibler divergence Probability distribution Probability Information bottleneck method Maximum-entropy Markov model Statistics Markov models Hidden Markov model
36	13 Informed priors When building an empirical model we typically attempt to include our understanding of the phenomenon as part of the model. This commonly describes both classical and Bayesian analyses (usually with loc Add to Reading List Source URL: fisher.osu.edu Language: English - Date: 2013-02-19 13:44:25 Mathematical analysis Information theory Randomness Communication Principle of maximum entropy Entropy Maximum entropy probability distribution Differential entropy Statistics Statistical theory Probability and statistics
37	Zipf ’s law and criticality in multivariate data without fine-tuning David J. Schwab∗ Department of Physics and Lewis-Sigler Institute, Princeton University, Princeton, NJ[removed]Ilya Nemenman† Departments of Physic Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-06-19 22:31:36 Physics Ising model Entropy Normal distribution Principle of maximum entropy Maximum likelihood Statistics Probability and statistics Statistical theory
38	A Probabilistic Upper Bound on Differential Entropy Erik Learned-Miller Joseph DeStefano, Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-06-03 21:51:43 Statistical theory Information theory Randomness Philosophy of thermal and statistical physics Normal distribution Entropy Principle of maximum entropy Maximum entropy probability distribution Differential entropy Statistics Probability and statistics Probability
39	1 A Probabilistic Upper Bound on Differential Entropy Joseph DeStefano, Qifeng Lu and Erik Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:13 Statistical theory Randomness Philosophy of thermal and statistical physics Entropy Principle of maximum entropy Maximum entropy probability distribution Order statistic Cumulative distribution function Differential entropy Statistics Probability and statistics Information theory
40	Rediscovering the power of pairwise interactions William Bialeka and Rama Ranganathanb a arXiv:0712.4397v1 [q-bio.QM] 28 Dec 2007 Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2010-05-15 10:21:27 Statistical theory Information theory State functions Philosophy of thermal and statistical physics Randomness Principle of maximum entropy Entropy Maximum entropy probability distribution Ising model Statistics Probability and statistics Physics

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