Maximum Entropy and Bayesian Methods
Subtitle: Boise, Idaho, USA, 1997 Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis
By: edited by Gary J. Erickson, Joshua T. Rychert, C. Ray Smith
Contributors: Rychert, Joshua T.; Smith, C. Ray
Series: Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application -- 98; Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application -- 98
Publisher: Springer Netherlands
Published: 1998
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] :
Number of pages: 302
ISBN-13: 9789401061117; 9789401150286
Subjects: Computational complexity; Statistics; Coding theory; Mathematics; Distribution (Probability theory); Artificial intelligence
Other titles: Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis
Description: This volume contains a wide range of applications of Bayesian statistics and maximum entropy methods to problems of concern in such fields as image processing, coding theory, machine learning, economics, data analysis and various other problems. It is a compendium of papers by the leading researchers in the field of Bayesian statistics and maximum entropy methods and represents the latest developments in the field. Audience: This book will be of interest to researchers in applied statistics, information theory, coding theory, image and signal processing.
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