Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Auteur : Kevin H. Knuth, Ali E. Abbas, Robin D. Morris, J. Patrick Castle

Date de publication : 2005-12-06

Éditeur : American Inst. of Physics

Nombre de pages : 564

Résumé du livre

All papers were peer-reviewed. For over 25 years the MaxEnt workshops have explored Bayesian and Maximum Entropy methods in scientific, engineering, and signal processing applications. This proceedings volume covers all aspects of probabilistic inference such as techniques, applications, and foundations. Applications include physics, space science, earth science, biology, imaging, graphical models and source separation.

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