Difference between revisions of "MaxEnt"
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*[http://www.bayesics.org/about.htm MaxEnt Workshops Inc.] | *[http://www.bayesics.org/about.htm MaxEnt Workshops Inc.] | ||
| − | [http://www.ipp.mpg.de/ippcms/eng/for/veranstaltungen/konferenzen/maxent2012/index.html MaxEnt 2012, Garching, Germany, 15-20 July 2012] | + | *[http://www.ipp.mpg.de/ippcms/eng/for/veranstaltungen/konferenzen/maxent2012/index.html MaxEnt 2012, Garching, Germany, 15-20 July 2012] |
| − | [http://www.maxent2011.org/ MaxEnt 2011, Waterloo, Canada, 10-15 July 2011] | + | *[http://www.maxent2011.org/ MaxEnt 2011, Waterloo, Canada, 10-15 July 2011] |
*[http://maxent2010.inrialpes.fr/ MaxEnt 2010, Chamonix, France, July 4-9, 2010] | *[http://maxent2010.inrialpes.fr/ MaxEnt 2010, Chamonix, France, July 4-9, 2010] | ||
Revision as of 05:00, 16 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
- Jaynes, E. T., 1967, `Foundations of Probability Theory and Statistical Mechanics,' in Delaware Seminar in the Foundations of Physics
- Shore, J.; Johnson, R., 1980, Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
- File:Abstract dimitrov 1.pdf
- File:Abstract dimitrov 2.pdf
- 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)
Larry Bretthorst bayes.wustl.edu
Unit 4: Probability, Lecture 1 | MIT 6.050J Information and Entropy, Spring 2008, also about market