Maximum entropy and Bayesian methods in inverse problems

Maximum entropy and Bayesian methods in inverse problems PDF Author: Clyde Ray Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 492

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Maximum entropy and Bayesian methods in inverse problems

Maximum entropy and Bayesian methods in inverse problems PDF Author: Clyde Ray Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 492

Get Book Here

Book Description


Maximum-Entropy and Bayesian Methods in Inverse Problems

Maximum-Entropy and Bayesian Methods in Inverse Problems PDF Author: C.R. Smith
Publisher: Springer Science & Business Media
ISBN: 9401722218
Category : Mathematics
Languages : en
Pages : 493

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Book Description
This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: Kenneth M. Hanson
Publisher: Springer Science & Business Media
ISBN: 9401154309
Category : Mathematics
Languages : en
Pages : 479

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Book Description
Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, Santa Fe, New Mexico, USA, 1995

Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993

Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 PDF Author: Glenn R. Heidbreder
Publisher: Springer Science & Business Media
ISBN: 9780792328513
Category : Computers
Languages : en
Pages : 434

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Book Description
Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: P.F. Fougère
Publisher: Springer Science & Business Media
ISBN: 9400906838
Category : Mathematics
Languages : en
Pages : 481

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Book Description
This volume represents the proceedings of the Ninth Annual MaxEnt Workshop, held at Dartmouth College in Hanover, New Hampshire, on August 14-18, 1989. These annual meetings are devoted to the theory and practice of Bayesian Probability and the Maximum Entropy Formalism. The fields of application exemplified at MaxEnt '89 are as diverse as the foundations of probability theory and atmospheric carbon variations, the 1987 Supernova and fundamental quantum mechanics. Subjects include sea floor drug absorption in man, pressures, neutron scattering, plasma equilibrium, nuclear magnetic resonance, radar and astrophysical image reconstruction, mass spectrometry, generalized parameter estimation, delay estimation, pattern recognition, heave responses in underwater sound and many others. The first ten papers are on probability theory, and are grouped together beginning with the most abstract followed by those on applications. The tenth paper involves both Bayesian and MaxEnt methods and serves as a bridge to the remaining papers which are devoted to Maximum Entropy theory and practice. Once again, an attempt has been made to start with the more theoretical papers and to follow them with more and more practical applications. Papers number 29, 30 and 31, by Kesaven, Seth and Kapur, represent a somewhat different, perhaps even "unorthodox" viewpoint, and are included here even though the editor and, indeed many in the audience at Dartmouth, disagreed with their content. I feel that scientific disagreements are essential in any developing field, and often lead to a deeper understanding.

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: John Skilling
Publisher: Springer Science & Business Media
ISBN: 9401578605
Category : Mathematics
Languages : en
Pages : 521

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Book Description
Cambridge, England, 1988

Maximum Entropy and Bayesian Methods in Applied Statistics

Maximum Entropy and Bayesian Methods in Applied Statistics PDF Author: James H. Justice
Publisher: Cambridge University Press
ISBN: 9780521096034
Category : Mathematics
Languages : en
Pages : 0

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Book Description
This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and application, and will be of interest to research workers in all fields in which the maximum entropy method may be applied.

Maximum-Entropy and Bayesian Methods in Inverse Problems

Maximum-Entropy and Bayesian Methods in Inverse Problems PDF Author: C.R. Smith
Publisher: Springer Science & Business Media
ISBN: 9789027720740
Category : Mathematics
Languages : en
Pages : 512

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Book Description
This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: Ali Mohammad-Djafari
Publisher: Springer Science & Business Media
ISBN: 940172217X
Category : Computers
Languages : en
Pages : 431

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Book Description
The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche Scientifique (CNRS), July 19-24, 1992. It is important to note that, since its creation in 1980 by some of the researchers of the physics department at the Wyoming University in Laramie, this was the second time that it took place in Europe, the first time was in 1988 in Cambridge. The two specificities of MaxEnt workshops are their spontaneous and informal charac ters which give the participants the possibility to discuss easily and to make very fruitful scientific and friendship relations among each others. This year's organizers had fixed two main objectives: i) to have more participants from the European countries, and ii) to give special interest to maximum entropy and Bayesian methods in signal and image processing. We are happy to see that we achieved these objectives: i) we had about 100 participants with more than 50 per cent from the European coun tries, ii) we received many papers in the signal and image processing subjects and we could dedicate a full day of the workshop to the image modelling, restoration and recon struction problems.

Maximum Entropy and Bayesian Methods

Maximum Entropy and Bayesian Methods PDF Author: C.R. Smith
Publisher: Springer Science & Business Media
ISBN: 9401722196
Category : Computers
Languages : en
Pages : 469

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Book Description
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.