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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 19th International Workshop

19th International Workshop on Maximum Entropy and Bayesian Methods (MAXENT 99)

Joshua T. Rychert, Boise State University, Department of Electrical and Computer Engineering, Boise, ID, USA ; C. Ray Smith, Fayetteville, TN, USA ; Gary J Erickson, Boise State University, Department of Electrical and Computer Engineering, Boise, ID, USA


AIP Conference Proceedings 567


Conference Location and Date: Boise, Idaho, 2-5 August 1999

Subseries: Mathematical and Statistical Physics

Published May 2001; ISBN 0-7354-0003-2 One Volume, Print; 322 pages; 6 3/8 x 9 1/4 inches; Hardcover; $135.00

Readership: Statisticians; applied mathematicians; information theorists.

The papers in this book represent a multidiscipline sampling of Bayesian statistical applications. Maximum entropy allows one to accurately create high-dimensional data models and eliminate spurious assumptions, producing easily understood results.

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