Difference between revisions of "MaxEnt"
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[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=1056144&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3Dshore+johnson+entropy Shore, J.; Johnson, R., 1980, Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy] | [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=1056144&contentType=Journals+%26+Magazines&searchField%3DSearch_All%26queryText%3Dshore+johnson+entropy Shore, J.; Johnson, R., 1980, Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy] | ||
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| + | [[File:Abstract dimitrov 1.pdf]] | ||
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| + | [[File:Abstract dimitrov 2.pdf]] | ||
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| + | [http://omega.albany.edu:8008/JaynesBook.html Edwin T. Jaynes Probability Theory As Extended Logic] | ||
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[http://www.inference.phy.cam.ac.uk/is/ Cavendish Laboratory, Cambridge The Inference Group] | [http://www.inference.phy.cam.ac.uk/is/ Cavendish Laboratory, Cambridge The Inference Group] | ||
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[http://bayesian.org/ International Society for Bayesian Analysis (ISBA)] | [http://bayesian.org/ International Society for Bayesian Analysis (ISBA)] | ||
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*[http://bayes.wustl.edu/etj/node2.html Edwin T. Jaynes Unpublished Works] | *[http://bayes.wustl.edu/etj/node2.html Edwin T. Jaynes Unpublished Works] | ||
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[http://rationalargumentator.com/issue36/probabilitylogic.html Probability as Logic] | [http://rationalargumentator.com/issue36/probabilitylogic.html Probability as Logic] | ||
Revision as of 04:57, 15 July 2012
Bernhard Lesche; Rényi entropies and observables. Phys. Rev. E 70, 017102 (2004)
Gull, S.F. and Skilling, J. (1984). Maximum entropy method in image processing
Edwin T. Jaynes Probability Theory As Extended Logic
Institute of Electrical and Electronics Engineers IEEE
Cavendish Laboratory, Cambridge The Inference Group
International Society for Bayesian Analysis (ISBA)
MaxEnt 2012, Garching, Germany, 15-20 July 2012
MaxEnt 2011, Waterloo, Canada, 10-15 July 2011
Larry Bretthorst bayes.wustl.edu
Unit 4: Probability, Lecture 1 | MIT 6.050J Information and Entropy, Spring 2008, also about market