Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 20th International Workshop, Gif-sur-Yvette, France, 8-13 July 2000

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Ali Mohammad-Djafari
American Inst. of Physics, Jun 8, 2001 - Mathematics - 644 pages
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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.

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Contents

chaired by A J M Garrett
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chaired by C Bendjaballah M H Partovi and A Plastino
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