Maximum Entropy and Bayesian Methods - Seattle, 1991 (Hardcover, 1992 ed.)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Fundamental Theories of Physics, 50
Release date:	November 1992
First published:	1992
Editors:	C.R. Smith • G. Erickson • Paul O. Neudorfer
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Hardcover
Pages:	474
Edition:	1992 ed.
ISBN-13:	978-0-7923-2031-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-7923-2031-X
Barcode:	9780792320319

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