Maximum-Entropy and Bayesian Methods in Science and Engineering: Foundations by

Description: Maximum-Entropy and Bayesian Methods in Science and Engineering by G. Erickson, C.R. Smith 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 kindle 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 In particular, we are delighted to make available Professor E. T. Jaynes unpublished Stanford University Microwave Laboratory Report No. 421 "How Does the Brain Do Plausible Reasoning?"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. Table of Contents How does the Brain Do Plausible Reasoning?.- The Relation of Bayesian and Maximum Entropy Methods.- An Engineer Looks at Bayes.- Bayesian Inductive Inference and Maximum Entropy.- Excerpts from Bayesian Spectrum Analysis and Parameter Estimation.- Detection of Extra-Solar System Planets.- Stochastic Complexity and the Maximum Entropy Principle.- The Axioms of Maximum Entropy.- Understanding Ignorance.- Maximum Entropy Calculations on a Discrete Probability Space.- Quantum Density Matrix and Entropic Uncertainty.- Information-Theoretical Generalization of the Uncertainty Principle.- Time, Energy, and the Limits of Measurement.- On a Detection Estimator Related to Entropy.- The Evolution of Carnots Principle.- A Logic of Information Systems.- Methodological Principles of Uncertainty in Inductive Modelling: A New Perspective.- Comparison of Minimum Cross-Entropy Inference with Minimally Informative Information Systems. Promotional Springer Book Archives Long Description 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 Details ISBN9401078718 Short Title MAXIMUM-ENTROPY & BAYESIAN MET Publisher Springer Language English ISBN-10 9401078718 ISBN-13 9789401078719 Media Book Format Paperback Pages 314 Series Fundamental Theories of Physics DEWEY 519.5 Year 2013 Imprint Springer Subtitle Foundations Place of Publication Dordrecht Country of Publication Netherlands Illustrations 17 Illustrations, black and white; X, 314 p. 17 illus. DOI 10.1007/978-94-009-3049-0 Publication Date 2013-11-13 Author C.R. Smith Edited by C.R. Smith Edition Description Softcover reprint of the original 1st ed. 1988 Alternative 9789027727930 Series Number 31-32 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96301499;

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