Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Download or Read eBook Bayesian Inference and Maximum Entropy Methods in Science and Engineering PDF 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.
Author | : Rainer Fischer |
Publisher | : A I P Press |
Total Pages | : 632 |
Release | : 2004-11-19 |
ISBN-10 | : STANFORD:36105114182632 |
ISBN-13 | : |
Rating | : 4/5 (32 Downloads) |
Book Synopsis Bayesian Inference and Maximum Entropy Methods in Science and Engineering by : Rainer Fischer
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.