Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Author | : Rainer Fischer |
Publisher | : A I P Press |
Total Pages | : 632 |
Release | : 2004-11-19 |
ISBN-10 | : STANFORD:36105114182632 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
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.