Mohammad-Djafari Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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Beschreibung

The MaxEnt workshops are devoted to Bayesian inference and maximum entropy methods in science and engineering. In addition, this workshop included all aspects of probabilistic inference, such as foundations, techniques, algorithms, and applications. All papers have been peer-reviewed.

Autor*in

Ali Mohammad-Djafari

Themen in »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

Bayesian nets biological systems free energy information geometry information theory maximum entropy principle multi-dimensional data processing probability theory quantum theory radio astronomy source separation

Stimmen zu »Bayesian Inference and Maximum Entropy Methods in Science and Engineering«

Details

ISBN: 9780735403710
Verlag: AIP Press
Erscheinung: 28.12.2006

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