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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 20th International Workshop

Twentieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2000)

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


AIP Conference Proceedings 568


Conference Location and Date: Gif-sur-Yvette, FRANCE, 8-13 July 2000

Subseries: Mathematical and Statistical Physics

Published May 2001; ISBN 0-7354-0004-0 One Volume, Print; 662 pages; 6 3/8 x 9 1/4 inches; Hardcover; $165.00

Readership: Applied mathematicians; analyzers of large data sets.

Bayesian inference and maximum entropy methods are central points of new scientific inference in mathematical physics and in all inverse problems in engineering and all probabilistic data analysis. This volume contains peer-reviewed selection of the papers presented at this international workshop. Topics included are: axiomatics and concepts, bayesian parameter estimation, algorithms for bayesian computation, deconvolution and source separation, quantum tomography, tomographic imaging and image processing, as well as bayesian inference in applications.

Related AIP Titles:
CP# Editor(s) Title
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