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Kullback–Leibler divergence
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21	INSTITUTE OF PHYSICS PUBLISHING Eur. J. PhysS69–S77 EUROPEAN JOURNAL OF PHYSICS doi:/26/5/S08 Add to Reading List Source URL: samarcanda.phys.uniroma1.it Language: English - Date: 2007-11-30 04:52:45 Statistics Entropy Algorithmic information theory Noisy-channel coding theorem LZ77 and LZ78 Kolmogorov complexity Kullback–Leibler divergence Complexity Huffman coding Information theory Information Theoretical computer science
22	Four Types of Ignorance Lars Peter Hansen and Thomas J. Sargent∗ April 4, 2015 Abstract This paper studies alternative ways of representing uncertainty about a law of motion in a version of a classic macroeconomic targ Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:39:42 Statistical theory Normal distribution Kullback–Leibler divergence Robust Bayes analysis Prior probability Statistical models Statistics Probability and statistics Bayesian statistics
23	Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains Justin Solomon Stanford University Adrian Butscher Autodesk, Inc. Add to Reading List Source URL: www.iip.ist.i.kyoto-u.ac.jp Language: English Measure theory Algebraic topology Algebraic geometry Field theory Valuation Kullback–Leibler divergence Wasserstein metric Trigonometric functions Transportation theory Mathematical analysis Mathematics Abstract algebra
24	Robustness and ambiguity in continuous time∗ Lars Peter Hansen† University of Chicago and NBER Thomas J. Sargent‡ New York University and Hoover Institution January 27, 2011 Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:04:47 Statistics Normal distribution Kullback–Leibler divergence
25	J ournal of Statistical Mechanics: Theory and Experiment An IOP and SISSA journal Add to Reading List Source URL: samarcanda.phys.uniroma1.it Language: English - Date: 2007-11-30 04:52:45 Statistics Information theory Randomness Entropy Kolmogorov complexity Kullback–Leibler divergence LZ77 and LZ78 Complexity Sequence Statistical theory Science Mathematics
26	Learning to imitate stochastic time series in a compositional way by chaos Accepted in Neural Networks Jun Namikawa Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-03-23 09:51:20 Markov models Estimation theory Kullback–Leibler divergence Thermodynamics Recurrent neural network Long short term memory Hidden Markov model Maximum likelihood Markov chain Statistics Neural networks Statistical theory
27	Divergence measures and message passing Thomas Minka Microsoft Research Ltd., Cambridge, UK MSR-TR, December 7, 2005 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-04-13 13:22:10 Divergence Kullback–Leibler divergence Hellinger distance Closed and exact differential forms Calculus of variations Rényi entropy Bessel function Statistics Geometry Information theory
28	Nat. Hazards Earth Syst. Sci., 11, 2075–2083, 2011 www.nat-hazards-earth-syst-sci.netdoi:nhess © Author(sCC Attribution 3.0 License. Natural Hazards Add to Reading List Source URL: www.nat-hazards-earth-syst-sci.net Language: English - Date: 2014-12-04 02:03:33 Information theory Thermodynamic entropy Science Philosophy of thermal and statistical physics Thermodynamics Principle of maximum entropy Entropy Mutual information Kullback–Leibler divergence Statistics Statistical theory Probability and statistics
29	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
30	ON CHOOSING AND BOUNDING PROBABILITY METRICS ALISON L. GIBBS AND FRANCIS EDWARD SU Manuscript version January 2002 Abstract. When studying convergence of measures, an important issue is the choice of probability metric. Add to Reading List Source URL: www.math.hmc.edu Language: English - Date: 2002-02-04 06:25:27 Measure theory Metric geometry Mathematics Wasserstein metric Statistical distance Symbol Kullback–Leibler divergence Probability space Radon–Nikodym theorem Mathematical analysis Probability theory Statistics

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