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Maximum Entropy and Bayesian Methods : Santa Fe, New Mexico, U.S.A., 1995; Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods /

This volume contains the proceedings of the "Fifteenth International Workshop on Maximum Entropy and Bayesian Methods", held in Sante Fe, New Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific inf...

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Bibliographic Details
Corporate Authors: International Workshop on Maximum Entropy and Bayesian Methods Santa Fe, N.M., SpringerLink (Online service)
Other Authors: Hanson, Kenneth M., Silver, Richard N.
Format: Conference Proceeding eBook
Language:English
Published: Dordrecht : Springer, 1996.
Series:Fundamental theories of physics ; 79.
Subjects:
Statistics.
Computer engineering.
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.
Electronic books.
Conference proceedings.
Online Access:Connect to the full text of this electronic book
Description
Summary:This volume contains the proceedings of the "Fifteenth International Workshop on Maximum Entropy and Bayesian Methods", held in Sante Fe, New Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific inference in the natural and social sciences, engineering and medicine. Practical applications include, among others, parametric model fitting and model selection, ill-posed inverse problems, image reconstruction, signal processing, decision making, and spectrum estimation. Fundamental applications include the common foundations for statistical inference, statistical physics and information theory. Specific sessions during the workshop focused on time series analysis, machine learning, deformable geometric models, and data analysis of Monte Carlo simulations, as well as reviewing the relation between maximum entropy and information theory. Audience: This book should be of interest to scientists, engineers, medical professionals, and others engaged in such topics as data analysis, statistical inference, image processing, and signal processing.
Item Description:Electronic resource.
Physical Description:1 online resource (480 pages)
ISBN:9789401154307 (electronic bk.)
9401154309 (electronic bk.)