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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Paul M. Goggans, University of Mississippi, Department of Electrical Engineering, University, Mississippi, USA ; Chun-Yong Chan, University of Mississippi, Department of Electrical Engineering, University, Mississippi, USA


AIP Conference Proceedings 1193


Conference Location and Date: Oxford, Mississippi, 5-10 July 2009

Published December 2009; ISBN 978-0-7354-0729-9 One Volume, Print; 452 pages; 6 3/8 X 9 1/4 inches; Hardcover; $259.00

Readership: engineers, mathematicians, specialists in quantum mechanics, physics

Like all previous MaxEnt Workshops, this meeting encompassed all aspects of probabilistic inference including foundations, computational methods, and applications. The topics represented included probability theory and information theory, decision theory, Bayesian computation, model comparison, quantum mechanics, and applications in engineering, physics, and medicine.

Related AIP Titles:
CP# Editor(s) Title
1073Lauretto, et al.BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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707Erickson / ZhaiBAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 23rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
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