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Maximum entropy probability distribution
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11	USING THE METHOD OF NEARBY MEASURES IN SUPERPOSITION CODING WITH A BERNOULLI DICTIONARY Cynthia Rush and Andrew R. Barron, Department of Statistics, Yale University, New Haven, CTemail: {cynthia.rush, andrew.barro Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2014-01-08 19:58:53 Information theory Philosophy of thermal and statistical physics Normal distribution Entropy Central limit theorem Principle of maximum entropy Kullback–Leibler divergence Constructible universe Statistics Statistical theory Probability and statistics
12	Modeling Interaction via the Principle of Maximum Causal Entropy Brian D. Ziebart J. Andrew Bagnell Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-10 00:05:22 Statistical theory Information theory Bayesian statistics Philosophy of thermal and statistical physics Thermodynamic entropy Entropy Principle of maximum entropy Maximum entropy probability distribution Bayesian network Statistics Probability and statistics Probability
13	Species abundance distributions, statistical mechanics and the priors of MaxEnt Add to Reading List Source URL: www.nimbios.org Language: English - Date: 2015-04-08 04:16:11 Bayesian statistics Statistical theory Exponentials Biodiversity Philosophy of thermal and statistical physics Principle of maximum entropy Relative species abundance Ecology Normal distribution Statistics Probability and statistics Probability
14	A Bayesian Approach to Conflicting Input-Output Data 1 2 Add to Reading List Source URL: www.iioa.org Language: English - Date: 2012-01-12 14:07:19 Statistical theory Information theory Randomness Philosophy of thermal and statistical physics Principle of maximum entropy Normal distribution Prior probability Kullback–Leibler divergence Bayesian probability Statistics Probability and statistics Bayesian statistics
15	Proceedings of the Twenty-First International Conference on Machine Learning, pages, A Maximum Entropy Approach to Species Distribution Modeling Steven J. Phillips AT&T Labs − Research, 180 Park Avenue, Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-12-17 09:42:24 Econometrics Bayesian statistics Ecology Environmental niche modelling Information science Scientific modeling Prior probability Principle of maximum entropy Multinomial logit Statistics Probability and statistics Probability
16	1 The Latent Maximum Entropy Principle 2 3 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-28 23:25:18 Information theory Estimation theory Bayesian statistics Randomness Expectation–maximization algorithm Principle of maximum entropy Normal distribution Kullback–Leibler divergence Maximum likelihood Statistics Probability and statistics Statistical theory
17	Eur. Phys. J. B: 162 DOI: epjb/e2014Measuring capital market eﬃciency: long-term memory, fractal dimension and approximate entropy Add to Reading List Source URL: library.utia.cas.cz Language: English - Date: 2014-09-12 03:39:20 Fractals Stochastic processes Dimension theory Dynamical systems Fractal dimension Hurst exponent Normal distribution Entropy Maximum likelihood Statistics Probability and statistics Statistical theory
18	arXiv:0807.4969v1 [physics.pop-ph] 31 JulThe Implications of the Early Formation of Life on Earth Brendon James Brewer School of Mathematics and Statistics The University of New South Wales Add to Reading List Source URL: arxiv.org Language: English - Date: 2008-07-31 13:45:56 Statistical inference Statistical theory Prior probability Mu Bayesian inference Credible interval Principle of maximum entropy Exponential distribution Probability Statistics Bayesian statistics Probability and statistics
19	Some Formal Solutions in Side-channel Cryptanalysis An Introduction Fabrice J.P.R. Pautot e-mail to: Abstract: We propose to revisit Side-channel Cryptanalysis from the point of view, Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2009-01-19 04:49:09 Statistical theory Bayesian statistics Probability theory Principle of indifference Principle of maximum entropy Normal distribution Bayesian probability Information theory Entropy Statistics Probability and statistics Probability
20	In F. Detje, D. D¨ orner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modelling (pp. 21–26). Bamberg, Germany: Universit¨ ats–Verlag Bamberg, [removed]The Use of Entropy for Ana Add to Reading List Source URL: www.eis.mdx.ac.uk Language: English - Date: 2006-01-31 05:13:14 Philosophy of thermal and statistical physics Thermodynamic entropy Information theory Bayesian statistics Entropy Principle of maximum entropy Normal distribution Kullback–Leibler divergence Estimation theory Statistics Probability and statistics Statistical theory

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