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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

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File:Abstract dimitrov 2.pdf

Edwin T. Jaynes Probability Theory As Extended Logic

Institute of Electrical and Electronics Engineers IEEE

• IEEE conferences

Cavendish Laboratory, Cambridge The Inference Group

International Society for Bayesian Analysis (ISBA)

• MaxEnt Workshops Inc.

MaxEnt 2012, Garching, Germany, 15-20 July 2012

MaxEnt 2011, Waterloo, Canada, 10-15 July 2011

• MaxEnt 2010, Chamonix, France, July 4-9, 2010

• MaxEnt 2009, Oxford, Mississippi, July 5 - 10. 2009

• MaxEnt 2008, São Paulo, Brasil, July 6-11, 2008

• MaxEnt 2007, New York, USA, July 8 - 13, 2007

Larry Bretthorst bayes.wustl.edu

• Edwin T. Jaynes Bibliography

• Edwin T. Jaynes Unpublished Works

Probability as Logic

Principle of maximum entropy

Unit 4: Probability, Lecture 1 | MIT 6.050J Information and Entropy, Spring 2008, also about market