Maximum-Entropy and Bayesian Methods in Science and Engineering: Volume 2: Appli

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ISBN-13:9789401090568
Book Title:Maximum-Entropy and Bayesian Methods in Science and Engineering
Number of Pages:440 Pages
Language:English
Publication Name:Maximum-Entropy and Bayesian Methods in Science and Engineering: Volume 2: Applications
Publisher:Springer
Publication Year:2012
Subject:Engineering & Technology,Computer Science,Mathematics,Physics
Item Height:240 mm
Item Weight:723 g
Type:Textbook
Author:C.R. Smith, G. Erickson
Subject Area:Electrical Engineering
Item Width:160 mm
Format:Paperback

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 ”Maximum-Entropy and Bayesian Methods in Applied Statistics”, held at 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 ”Maximum-Entropy and Bayesian Methods in Applied Statistics”, held at 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 most of the papers in this volume are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents 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. These workshops and their proceedings could not have been brought to their final form without the support or help of a number of people. Table of Contents Seti, Radon Transforms, and Optimization.- Inductive Inference by Neutral Networks.- On the Efficiency of a Class of Maximum Entropy Estimators.- Quantum Statistical Mechanics in Phase Space and the Classical Limit.- Superposition Effects in Differential Entropy and Kullback-Leibler Information.- Super Variational Principles.- Einsteins Reversal of the Boltzmann Principle and Particle Statistics.- Classical Entropy of a Coherent Spin State: A Local Minimum.- Least Maximum Entropy and Minimum Uncertainty Coherent States.- Maximum Entropy Spectroscopy — Dimes and Mesa.- Information and Entropy of Patterns in Genetic Switchs.- Maximum Entropy and the Phase Problem in Protein Crystallography.- Contrast Transfer Function Correction in Electron Microscopy.- Climatically Induced Cyclic Variations in United States Crop Production: Implications in Economic and Social Science.- A Maximum Entropy Method for Expert System Construction.- Stochastic Relaxation Methods for Image Restoration and Expert Systems.- Towards a Method of Correcting Bias Introduced By the Use of the Error Fitting Method in Conjunction with a Maximum Entropy Processing Algorithm.- Making Maximum Entropy Computations Easier by Adding Extra Constraints (Extended Abstract).- Image Restoration and Reconstruction Using Entropy as a Regularization Functional.- Application of Likelihood And Entropy for Toeplitz Constrained Covariance Estimation.- The Concept of Epoch Entropy in Complex Systems.- A General Theory of Inhomogeneous Systems.- Maximum Entropy and Crack Geometry in Granitic Rocks.- Maximum Entropy Analysis of Liquid Diffraction Data.- Random Array Beamforming.- Decision Making with Barely Any Information: The Role of Mixed Strategies.- Comparison of Bayesian and Dempsters Rules In EvidenceCombination. Promotional Springer Book Archives Long Description This volume has its origin in the Fifth, Sixth and Seventh Workshops on ”Maximum-Entropy and Bayesian Methods in Applied Statistics”, held at 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 most of the papers in this volume are in the nature of advancing theory or solving specific problems, as opposed to status reports, it is believed that the contents 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. These workshops and their proceedings could not have been brought to their final form without the support or help of a number of people. Details ISBN9401090564 Publisher Springer Series Fundamental Theories of Physics Year 2012 ISBN-10 9401090564 ISBN-13 9789401090568 Format Paperback Publication Date 2012-02-29 Imprint Springer Subtitle Volume 2: Applications Place of Publication Dordrecht Country of Publication Netherlands DEWEY 519.5 Short Title MAXIMUM-ENTROPY & BAYESIAN MET Language English Media Book Pages 440 Illustrations IX, 440 p. DOI 10.1007/978-94-010-9054-4 Author C.R. Smith Edited by C.R. Smith Edition Description Softcover reprint of the original 1st ed. 1988 Alternative 9789027727947 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:141902140;

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