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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Kevin H. Knuth, University at Albany, Department of Physics, Albany, NY, USA ; Ariel Caticha, University at Albany, Department of Physics, Albany, NY, USA ; Julian L Center, Creative Research Corp., Andover, MA, USA ; Adom Giffin, University at Albany, Department of Physics, Albany, NY, USA ; Carlos C. Rodríguez, University at Albany, Department of Physics, Albany, NY, USA


AIP Conference Proceedings 954


Conference Location and Date: Saratoga Springs, NY, 8-13 July 2007

Subseries: Mathematical and Statistical Physics

Published December 2007; ISBN 978-0-7354-0468-7 One Volume, Print; 504 pages; 6 3/8 X 9 1/4 inches; Hardcover; $227.00

Readership: The readership will likely involve researchers from the following fields: statisticians, signal processing experts, astronomers. physicists, chemists, Earth scientists, biologists, engineers

For over 25 years the MaxEnt workshops have explored the use of Bayesian probability theory, entropy and information theory in scientific and engineering applications. This volume considers Methods, Applications, and Foundations. Application areas include, but are not limited to: astronomy, physics, chemistry, biology, Earth science and engineering.

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