Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Description

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.


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Details

Author(s)
Paul M. Goggans, Chun-Yong Chan
Format
Hardback | 452 pages
Dimensions
162 x 234 x 27.94mm | 739.36g
Publication date
01 Jan 2010
Publisher
American Institute of Physics
Publication City/Country
New York, United States
Language
English
Edition Statement
2009 ed.
ISBN10
0735407290
ISBN13
9780735407299