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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Kevin H. Knuth, University at Albany, Department of Physics, Albany, NY, USA ; Ali E. Abbas, University of Illinois at Urbana-Champaign, School of Engineering, Urbana, IL, USA ; Robin D. Morris, USRA-RIACS, NASA Ames Research Center, Moffett Field, CA, USA ; J. Patrick Castle, National Space Grant Foundation - EA, NASA Ames Research Center, Moffett Field, CA, USA


AIP Conference Proceedings 803


Conference Location and Date: San Jose, California, 7-12 August 2005

Subseries: Mathematical and Statistical Physics

Published December 2005; ISBN 0-7354-0292-2 One Volume, Print; 578 pages; 6 3/8 X 9 1/4 inches; Hardcover; $172.00

Readership: Researchers interested in probability theory and statistics and their applications to the physical and life sciences as well as to information theory and computational science

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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