Bayesian inference and maximum entropy methods in science and engineering
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Bayesian inference and maximum entropy methods in science and engineering 25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, San José, California, 7-12 August 2005 by International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (25th 2005 San Jose, Calif.)

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Published by American Institute of Physics in Melville, N.Y .
Written in English

Subjects:

  • Maximum entropy method -- Congresses.,
  • Bayesian statistical decision theory -- Congresses.,
  • Entropia (termodinâmica) (congressos)

Book details:

Edition Notes

Statementeditors, Kevin H. Knuth ... [et al.].
GenreCongresses.
SeriesAIP conference proceedings -- v. 803., AIP conference proceedings -- no. 803.
ContributionsKnuth, Kevin H.
Classifications
LC ClassificationsQ370 .I574 2005, Q370 .I574 2005
The Physical Object
Paginationxiv, 564 p. :
Number of Pages564
ID Numbers
Open LibraryOL18285154M
ISBN 100735402922
ISBN 109780735402928
LC Control Number2005935588

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Description: These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt ), held in São Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community. They gather research from scholars in. Note: If you're looking for a free download links of Bayesian Inference & Maximum Entropy Methods in Science & Engineering Pdf, epub, docx and torrent then this site is not for you. only do ebook promotions online and we does not distribute any free download of ebook on this site.   Free Online Library: Bayesian inference and maximum entropy methods in science and engineering; proceedings.(Brief Article, Book Review) by "SciTech Book News"; Publishing industry Library and information science Science and technology, general Books Book reviews. 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Advisory Committee G. L. Bretthorst Washington Univ., USA A. Caticha University at Albany (SUNY), USA J. Center Autonomous Exploration, USA G. Erickson Boise State Univ., USA R. .

Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical an updating is particularly important in the dynamic analysis of a sequence of data. Author by: C.R. Smith Languange: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 44 Total Download: File Size: 48,6 Mb 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. Gull S.F. () Bayesian Inductive Inference and Maximum Entropy. In: Erickson G.J., Smith C.R. (eds) Maximum-Entropy and Bayesian Methods in Science and Engineering. Fundamental Theories of Physics (An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application), vol Cited by: / Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Switzerland: Springer, p. Switzerland: Springer, p. (Springer Proceedings in Mathematics & Statistics).