<p>This volume represents the proceedings of the Ninth Annual MaxEnt Workshop, held at Dartmouth College in Hanover, New Hampshire, on August 14-18, 1989. These annual meetings are devoted to the theory and practice of Bayesian Probability and the Maximum Entropy Formalism. The fields of application
Maximum Entropy and Bayesian Methods: Laramie, Wyoming, 1990
β Scribed by E. T. Jaynes (auth.), W. T. Grandy Jr., L. H. Schick (eds.)
- Publisher
- Springer Netherlands
- Year
- 1991
- Tongue
- English
- Leaves
- 355
- Series
- Fundamental Theories of Physics 43
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The 10th International Workshop on Maximum Entropy and Bayesian Methods, MaxEnt 90, was held in Laramie, Wyoming from 30 July to 3 August 1990. This volume contains the scientific presentations given at that meeting. This series of workshops originated in Laramie in 1981, where the first three of what were to become annual workshops were held. The fourth meeting was held in Calgary. the fifth in Laramie, the sixth and seventh in Seattle, the eighth in Cambridge, England, and the ninth at Hanover, New Hampshire. It is most appropriate that the tenth workshop, occurring in the centennial year of Wyoming's statehood, was once again held in Laramie. The original purpose of these workshops was twofold. The first was to bring together workers from diverse fields of scientific research who individually had been using either some form of the maximum entropy method for treating ill-posed problems or the more general Bayesian analysis, but who, because of the narrow focus that intra-disciplinary work tends to impose upon most of us, might be unaware of progress being made by others using these same techniques in other areas. The second was to introduce to those who were somewhat aware of maximum entropy and Bayesian analysis and wanted to learn more, the foundations, the gestalt, and the power of these analyses. To further the first of these ends, presenters at these workshops have included workers from area. s as varied as astronomy, economics, environmenta.
β¦ Table of Contents
Front Matter....Pages i-xii
Notes on Present Status and Future Prospects....Pages 1-13
Front Matter....Pages 15-15
Bayesian Methods and Entropy in Economics and Econometrics....Pages 17-31
The Role of Priors in Active Bayesian Learning in the Sequential Statistical Decision Framework....Pages 33-38
The Principle of Maximum Entropy and the Difference between Risk and Uncertainty....Pages 39-47
Front Matter....Pages 49-49
Analysis of Lunar Occultation Data....Pages 51-57
The Photometric Accuracy of Astronomical Images Restored with the MEMSYS3 Code....Pages 59-65
Computational Problems and Signal Processing in SETI....Pages 67-75
Front Matter....Pages 77-77
Maximum Entropy in Condensed Matter Theory....Pages 79-92
Entropy Maximization in Nuclear Physics....Pages 93-107
Applications of Maxent to Quantum Monte Carlo....Pages 109-125
Maximum Entropy Applications in Radar....Pages 127-136
The Application of Maximum Entropy Signal Processing to Ultrasonic Surface Parameterisation....Pages 137-146
Steel Characterization using Bayesian Analysis of Barkhausen Noise....Pages 147-152
Bayesian Spectral Analysis of Reflectivity Data....Pages 153-159
On the Assignment of Prior Expectation Values and a Geometric Means of Maximizing β Tr Ο ln Ο Constrained by Measured Expectation Values....Pages 161-168
The Evaluation and Predictive Properties of the βMemSys3β Algorithm....Pages 169-180
The Evolution of our Probability Image for the Spin Orientation of a Spin β 1/2 β Ensemble as Measurements are Made on Several Members of the Ensemble β Connections with Information Theory and Bayesian Statistics....Pages 181-189
Stochasticity in Nature, and Its Consequences....Pages 191-197
Front Matter....Pages 199-199
Reasoning with Maximum Entropy in Expert Systems....Pages 201-213
Some Applications of the Bayesian, Maximum-Entropy Concept in Geostatistics....Pages 215-229
Front Matter....Pages 199-199
Maximum Entropy Image Reconstruction of DNA Sequencing Data....Pages 231-235
Maximum Entropy Connections: Neural Networks....Pages 237-244
Quantifying Drug Absorption....Pages 245-252
Energy Flow-Networks and the Maximum Entropy Formalism....Pages 253-264
Front Matter....Pages 265-265
On Parameter Estimation and Quantified Maxent....Pages 267-273
A Subpixel Deconvolution Method for Astronomical Images....Pages 275-283
Maximum Entropy Prior Laws of Images and Estimation of their Parameters....Pages 285-293
Two New Methods for Retrieving an Image from Noisy, Incomplete Data and Comparison with the Cambridge Maxent Package....Pages 295-301
Rayleigh Task Performance as a Method to Evaluate Image Reconstruction Algorithms....Pages 303-312
Maximum Entropy Image Construction of the Galaxy M51....Pages 313-318
The Image Reconstruction Contest....Pages 319-324
Front Matter....Pages 325-325
Moment Estimation using Bayesian Probability Theory....Pages 327-335
Maximum Entropy with Poisson Statistics....Pages 337-341
From Euclid to Entropy....Pages 343-348
Bayesian Interpolation....Pages 349-355
Ockhamβs Razor....Pages 357-364
Probabilistic Displays....Pages 365-368
Back Matter....Pages 369-371
β¦ Subjects
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Statistics, general
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