Bayesian inference and maximum entropy methods in science and engineering : 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Ontario, Canada, 9-16 July 2011 /

Bayesian inference and maximum entropy methods in science and engineering : 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Ontario, Canada, 9-16 July 2011 /

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Bibliographic Details
Meeting name:	International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (31st : 2011 : Waterloo, Ont.)
Imprint:	Melville, N.Y. : American Institute of Physics, 2012.
Description:	1 online resource (ix, 392 pages) : illustrations.
Language:	English
Series:	AIP conference proceedings, 0094-243X ; 1443 AIP conference proceedings ; no. 1443.
Subject:	Maximum entropy method -- Congresses. Bayesian statistical decision theory -- Congresses. Bayesian statistical decision theory -- Industrial applications -- Congresses. Bayesian statistical decision theory. Bayesian statistical decision theory -- Industrial applications. Maximum entropy method. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8769989

Hidden Bibliographic Details
Varying Form of Title:	31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Thirty-first International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Other authors / contributors:	Goyal, Philip.
ISBN:	9780735410398 0735410399
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (AIP Web site, viewed May 3, 2012).
Other form:	Print version:

Description
Summary:	For over 30 years, the Maxent workshops have explored Bayesian and Maximum Entropymethods in scientific, engineering, and signal processing applications. This book covers various aspects of probabilistic inference such as Techniques, Applications, and Foundations.
Physical Description:	1 online resource (ix, 392 pages) : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9780735410398 0735410399
ISSN:	0094-243X ;