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Maximum Entropy and Bayesian Methods - Seattle, 1991 (Hardcover, 1992 ed.): C.R. Smith, G. Erickson, Paul O. Neudorfer Maximum Entropy and Bayesian Methods - Seattle, 1991 (Hardcover, 1992 ed.)
C.R. Smith, G. Erickson, Paul O. Neudorfer
R6,164 Discovery Miles 61 640 Ships in 10 - 15 working days

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.

Maximum Entropy and Bayesian Methods - Seattle, 1991 (Paperback, Softcover reprint of the original 1st ed. 1992): C.R. Smith,... Maximum Entropy and Bayesian Methods - Seattle, 1991 (Paperback, Softcover reprint of the original 1st ed. 1992)
C.R. Smith, G. Erickson, Paul O. Neudorfer
R5,926 Discovery Miles 59 260 Ships in 10 - 15 working days

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.

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