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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Ali Mohammad-Djafari, CNRS-SUPELEC-UPS 11, Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, Cedex, FRANCE


AIP Conference Proceedings 872


Conference Location and Date: Paris, France, 8-13 July 2006

Subseries: Mathematical and Statistical Physics

Published December 2006; ISBN 978-0-7354-0371-6 One Volume, Print; 608 pages; 6 3/8 X 9 1/4 inches; Hardcover; $273.00

Readership: Physicists, mathematicians, and engineers using probability and information theory for data, signal, and image processing.

All papers have been peer-reviewed. The MaxEnt workshops are devoted to Bayesian inference and maximum entropy methods in science and engineering. In addition, this workshop included all aspects of probabilistic inference, such as foundations, techniques, algorithms, and applications. Specific topics included are: information theory; probability theory; quantum systems; source separation; information geometry; Bayesian networks, parametric and non-parametric Bayesian data and image processing; Bayesian computation; entropy computation of Markovian and semi-Markovian processes.

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