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BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

24th International Worskhop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Rainer Fischer, Max-Planck-Institut fur Plasmaphysik, Garching, Munchen, GERMANY ; Udo von Toussaint, Max-Planck-Institut fur Plasmaphysik, garching, Munchen, USA ; Roland Preuss, Max-Planck-Institut fur Plasmaphysik, Garching, Munchen, GERMANY


AIP Conference Proceedings 735


Conference Location and Date: Garching, Germany, 25-30 July 2004

Subseries: Mathematical and Statistical Physics

Published November 2004; ISBN 0-7354-0217-5, One Volume, Print; 623 pages; 6 3/8 X 9 1/4 inches; Hardcover; $187.00

Readership: physical, biological, and astrophysical scientists interested in data analysis; statisticians; applied mathematicians; engineers

All papers were peer reviewed. Bayesian Inference and Maximum Entropy methods provide a framework for analyzing ill-conditioned data. Maximum Entropy is a theoretical method to draw conclusions when little information is available. Bayesian probability theory provides a formalism for scientific reasoning by analyzing noisy or imcomplete data using prior knowledge.

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