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

✍ Scribed by Stanley R. Deans (auth.), Gary J. Erickson, C. Ray Smith (eds.)

• Publisher: Springer Netherlands
• Year: 1988
• Tongue: English
• Leaves: 431
• Series: Fundamental Theories of Physics 31-32
• Edition: 1
• Category: Library

✦ Synopsis

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

Front Matter....Pages i-ix
SETI, Radon Transforms, and Optimization....Pages 1-17
Inductive Inference by Neural Networks....Pages 19-32
On the Efficiency of a Class of Maximum Entropy Estimators....Pages 33-49
Quantum Statistical Mechanics in Phase Space and the Classical Limit....Pages 51-82
Superposition Effects in Differential Entropy and Kullback-Leibler Information....Pages 83-88
Super Variational Principles....Pages 89-103
Einstein’s Reversal of the Boltzmann Principle and Particle Statistics....Pages 105-109
Classical Entropy of a Coherent Spin State: A Local Minimum....Pages 111-119
Least Maximum Entropy and Minimum Uncertainty Coherent States....Pages 121-126
Maximum Entropy Spectroscopy — Dimes and Mesa....Pages 127-145
Information and Entropy of Patterns in Genetic Switchs....Pages 147-154
Maximum Entropy and the Phase Problem in Protein Crystallography....Pages 155-169
Contrast Transfer Function Correction in Electron Microscopy....Pages 171-179
Climatically Induced Cyclic Variations in United States Crop Production: Implications in Economic and Social Science....Pages 181-241
A Maximum Entropy Method for Expert System Construction....Pages 243-263
Stochastic Relaxation Methods for Image Restoration and Expert Systems....Pages 265-311
Towards a Method of Correcting Bias Introduced by the Use of the Error Fitting Method in Conjunction with a Maximum Entropy Processing Algorithm....Pages 313-322
Making Maximum Entropy Computations Easier By Adding Extra Constraints (Extended Abstract)....Pages 323-340
Image Restoration and Reconstruction using Entropy as a Regularization Functional....Pages 341-355
Application of Likelihood and Entropy for Toeplitz Constrained Covariance Estimation....Pages 357-362
The Concept of Epoch Entropy in Complex Systems....Pages 363-369
A General Theory of Inhomogeneous Systems....Pages 371-379
Maximum Entropy and Crack Geometry in Granitic Rocks....Pages 381-393
Maximum Entropy Analysis of Liquid Diffraction Data....Pages 395-407
Random Array Beamforming....Pages 409-420
Decision Making with Barely Any Information: The Role of Mixed Strategies....Pages 421-426
Comparison of Bayesian and Dempster’s Rules in Evidence Combination....Pages 427-433
Back Matter....Pages 435-436

✦ Subjects

Statistics, general;Signal, Image and Speech Processing;Theoretical, Mathematical and Computational Physics;Electrical Engineering