Difference between revisions of "MaxEnt"

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[http://www.ieee.org/index.html?WT.mc_id=hpf_logo Institute of Electrical and Electronics Engineers IEEE]
 
[http://www.ieee.org/index.html?WT.mc_id=hpf_logo Institute of Electrical and Electronics Engineers IEEE]
  
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*[IEEE conferences http://www.ieee.org/conferences_events/index.html]
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*[http://www.ieee.org/conferences_events/index.html IEEE conferences]
  
 
[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]

Revision as of 04:56, 15 July 2012

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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


Institute of Electrical and Electronics Engineers IEEE

Cavendish Laboratory, Cambridge The Inference Group

File:Abstract dimitrov 1.pdf

File:Abstract dimitrov 2.pdf

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

Edwin T. Jaynes Probability Theory As Extended Logic

Probability as Logic

Principle of maximum entropy

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

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