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Maximum-Entropy and Bayesian Methods in Inverse Problems

✍ Scribed by W. T. Grandy Jr. (auth.), C. Ray Smith, W. T. Grandy Jr. (eds.)


Publisher
Springer Netherlands
Year
1985
Tongue
English
Leaves
493
Series
Fundamental Theories of Physics 14
Edition
1
Category
Library

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✦ Synopsis


This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxiΒ­ mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their compleΒ­ tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.

✦ Table of Contents


Front Matter....Pages i-ix
Incomplete Information and Generalized Inverse Problems....Pages 1-19
Where do We go from Here?....Pages 21-58
Introduction to Minimum-Cross-Entropy Spectral Analysis of Multiple Signals....Pages 59-66
On an Alleged Breakdown of the Maximum-Entropy Principle....Pages 67-82
Algorithms and Applications....Pages 83-132
Estimating Occurrence Laws with Maximum Probability, and the Transition to Entropic Estimators....Pages 133-169
Fundamentals of Seismic Exploration....Pages 171-210
Applied Seismology....Pages 211-242
Spectral Analysis and Time Series Models: A Geophysical Perspective....Pages 243-272
Absolute Power Density Spectra....Pages 273-286
The Entropy of an Image....Pages 287-301
A Review of the Problem of Spontaneous Line Splitting in Maximum Entropy Power Spectral Analysis....Pages 303-315
Application of Two-Channel Prediction Filtering to the Recursive Filter Design Problem....Pages 317-318
Application of Maximum Entropy and Bayesian Optimization Methods to Image Reconstruction from Projections....Pages 319-338
Multivariate Extensions of Maximum Entropy Methods....Pages 339-349
Inductive Inference and the Maximum Entropy Principle....Pages 351-364
Toward a General Theory of Inductive Inference....Pages 365-375
Generalized Scattering....Pages 377-398
Detection for Active Sonars by Means of Autoregressive Noise Modeling....Pages 399-411
Application of Autoregressive Models to the Doppler Sonar Problem....Pages 413-427
Maximum-Entropy and Data-Adaptive Procedures in the Investigation of Ocean Waves....Pages 429-442
Entropy and Search Theory....Pages 443-454
Maximal Entropy in Fluid and Plasma Turbulence: A Review....Pages 455-468
Estimation of the Boundary of an Inclusion of Known Material from Scattering Data....Pages 469-474
Vertices of Entropy in Economic Modeling....Pages 475-488
Back Matter....Pages 489-492

✦ Subjects


Statistics, general; Signal, Image and Speech Processing; Economic Geology; Geophysics/Geodesy


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