Maximum Entropy and Bayesian Methods
Subtitle: Santa Fe, New Mexico, U.S.A., 1995 Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods
By: edited by Kenneth M. Hanson, Richard N. Silver
Contributors: Silver, Richard N.
Series: Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application -- 79; Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application -- 79.
Publisher: Springer Netherlands; Imprint; Springer
Published: 1996
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] :
Number of pages: 480
ISBN-13: 9789401154307
Other titles: Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, Santa Fe, New Mexico, USA, 1995
Description: This volume contains the proceedings of the <em>Fifteenth International</em> <em>Workshop on Maximum Entropy and Bayesian Methods</em>, held in Sante Fe, New Mexico, USA, from July 31 to August 4, 1995. <br/> 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. <br/> <em>Audience:</em> 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.