Description: Maximum-Entropy and Bayesian Methods in Science and Engineering : Foundations, Paperback by Erickson, G. (EDT); Smith, C. R. (EDT), ISBN 9401078718, ISBN-13 9789401078719, Like New Used, Free shipping in the US This volume has its origin in the Fifth, Sixth and Seventh Workshops on and Bayesian Methods in Applied Statistics", held at "Maximum-Entropy the University of Wyoming, August 5-8, 1985, and at Seattle University, August 5-8, 1986, and August 4-7, 1987. It was anticipated that the proceedings of these workshops would be combined, so most of the papers were not collected until after the seventh workshop. Because all of the papers in this volume are on foundations, it is believed that the con tents of this volume will be of lasting interest to the Bayesian community. The workshop was organized to bring together researchers from different fields to critically examine maximum-entropy and Bayesian methods in science and engineering as well as other disciplines. Some of the papers were chosen specifically to interest in new areas that may offer new tools or insight to the reader or to stimulate work on pressing problems that appear to be ideally suited to the maximum-entropy or Bayesian method. A few papers presented at the workshops are not included in these proceedings, but a number of additional papers not presented at the workshop are included. In particular, we are delighted to make available Professor E. T. Jaynes unpublished Stanford University Microwave Laboratory Report No. 421 "How Does the Brain Do Plausible Reasoning?" (dated August 1957). This is a beautiful, detailed tutorial on the Cox-Polya-Jaynes approach to Bayesian probability theory and the maximum-entropy principle.
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Book Title: Maximum-Entropy and Bayesian Methods in Science and Engineering :
Number of Pages: X, 314 Pages
Publication Name: Maximum-Entropy and Bayesian Methods in Science and Engineering : Foundations
Language: English
Publisher: Springer Netherlands
Publication Year: 2013
Subject: Information Theory, Signals & Signal Processing, Probability & Statistics / General, Physics / Mathematical & Computational, Probability & Statistics / Bayesian Analysis
Item Height: 0.3 in
Type: Textbook
Item Weight: 18 Oz
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Item Length: 9.3 in
Author: C. R. Smith
Item Width: 6.1 in
Series: Fundamental Theories of Physics Ser.
Format: Trade Paperback