Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Author :
Publisher : A I P Press
Total Pages : 632
Release :
ISBN-10 : STANFORD:36105114182632
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Bayesian Inference and Maximum Entropy Methods in Science and Engineering by : Rainer Fischer

Download or read book Bayesian Inference and Maximum Entropy Methods in Science and Engineering written by Rainer Fischer and published by A I P Press. This book was released on 2004-11-19 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: All papers were peer reviewed. Bayesian Inference and Maximum Entropy Methods in Science and Engineering 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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