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Maximum Entropy and Bayesian Methods

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Maximum Entropy and Bayesian Methods Synopsis

Bayesian probability theory and maximum entropy methods are at the core of a new view of scientific inference. These `new' ideas, along with the revolution in computational methods afforded by modern computers, allow astronomers, electrical engineers, image processors of any type, NMR chemists and physicists, and anyone at all who has to deal with incomplete and noisy data, to take advantage of methods that, in the past, have been applied only in some areas of theoretical physics.
This volume records the Proceedings of Eleventh Annual `Maximum Entropy' Workshop, held at Seattle University in June, 1991. These workshops have been the focus of a group of researchers from many different fields, and this diversity is evident in this volume. There are tutorial papers, theoretical papers, and applications in a very wide variety of fields. Almost any instance of dealing with incomplete and noisy data can be usefully treated by these methods, and many areas of theoretical research are being enhanced by the thoughtful application of Bayes' theorem. The contributions contained in this volume present a state-of-the-art review that will be influential and useful for many years to come.

About This Edition

ISBN: 9780792320319
Publication date:
Author: International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis, C Ray Smith, Gary J Erickson, Paul O Neudorfer
Publisher: Springer an imprint of Springer Netherlands
Format: Hardback
Pagination: 470 pages
Series: Fundamental Theories of Physics
Genres: Computer vision
Probability and statistics
Analytical chemistry
Geology, geomorphology and the lithosphere