Overview

This volume contains most of the papers presented at the Twelfth International Workshop on Maximum Entropy and Bayesian Methods held in Paris, July 1992. As was the case with the eleven previous annual workshops (the first was held in 1980) this twelfth workshop brought together leading scientists and 'newcomers' involved in research activities in diverse scientific disciplines in which the theory and applications of maximum entropy and Bayesian statistics plays a significant and fruitful role. The contributions are presented in six sections: Bayesian Inference and Maximum Entropy (18 papers); Quantum Physics and Quantum Information (9 papers); Time Series (3 papers); Inverse Problems (4 papers); Applications (11 papers); Image Restoration and Reconstruction (9 papers). The rich diversity of the papers presented, and the status of many of the contributors, attest to the growing importance and vigour of this major topic to many areas of applied science and engineering. This volume will be of interest to a wide range of researchers whose work involves the theory and applications of maximum entropy and Bayesian statistics.

Full Product Details

Author:   Ali Mohammad-Djafari ,  G. Demoment
Publisher:   Springer
Imprint:   Springer
Edition:   1993 ed.
Volume:   53
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   1.810kg
ISBN:  

9780792322801

ISBN 10:   0792322800
Pages:   450
Publication Date:   31 July 1993
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Bayesian Inference and Maximum Entropy.- Intersubjectivity, Relativistic Covariance, and Conditionals (A New Axiomatization).- Game Theoretical Equilibrium, Maximum Entropy and Minimum Information Discrimination.- Entropy, Moments and Probability Theory.- Bayes-Optimal Visualization of Vector Fields.- A Survey of Convergence Results for Maximum Entropy Methods.- Maximum Entropy Method and Digital Filter Design.- A Theoretical Performance Analysis of Bayesian and Information Theoretic Image Segmentation Criteria.- On Application of Maxent to Solving Frediiolm Integral Equations.- An Algorithm to Process Signals Conveying Statistical Information.- Generalization of the Maximum Entropy Concept and Certain ARMA Processes.- Making Sense of Quantum Mechanics: Why You Should Believe in Hidden Variables.- Bayesian Methods and Court Decision-Making.- Wigmore Diagrams and Bayes Networks.- An Invariance Principle for Updating Probabilities.- Alpha, Evidence, and the Entropic Prior.- Uniformly Distributed Sequences and the Maximum Entropy Principle.- Duality without Tears.- 2. Quantum Physics and Quantum Information.- Entropy, Chaos, and Quantum Mechanics.- Phase-Space Priors in Information Entropy.- Maximum Entropy Descriptions of Quantum Wave Functions.- Towards Quantum ?—Entropy and Validity of Quantum Information.- Quantum Statistical Inference.- Dual Measurements and Information in Quantum Optics.- Quantum Entropies and Their Maximizations.- Information Dynamics and Its Application to Gaussian Communication Processes.- Quantum Mechanics — How Weird for Bayesians?.- 3. Time Series.- Speech Processing Using Bayesian Inference.- A Bayesian Method for the Detection of Unknown Periodic and Nonperiodic Signals in Binned Time Series.- Noise in the Underdetermined Problem.- 4.Inverse Problems.- Deconvolution with an Unknown Point—Spread Function.- Maximum Entropy and Linear Inverse Problems. A Short Review.- Bayesian Maximum Entropy Image Reconstruction from the Scattered Field Data.- Maximum Entropy Image Reconstruction in Eddy Current Tomography.- 5. Applications.- Conductivity-Depth-Imaging of Airborne Electromagnetic Step-Response Data Using Maximum Entropy.- Bayesian Source Estimation from Potential Field Data.- Crystal Phase Dynamics.- Diffraction from Particles of Unknown Shape.- Maxent Enhancement of 2D Projections from 3D Phased Fourier Data: An Application to Polarised Neutron Diffraction.- Relative Entropy and the Dempster-Laird-Rubin EM Algorithm: Application to the Autofocus Problem in ISAR Imaging.- Bayesian Analysis for Fault Location Based on Finite Element Models.- Pyramid Images.- Fine Structure in the Sunspot Record.- Topological Correlations in 2D Random Cellular Structures.- Analysis of DNA Oligonucleotide Hybridization Data: By Maximum Entropy.- 6. Image Restoration and Reconstruction.- Bayesian Image Classification Using Markov Random Fields.- Global Bayesian Estimation, Constrained Multiscale Markov Random Fields and the Analysis of Visual Motion.- Critical Properties of the 2D Ising Model: A Markovian Approach.- A Comparison of Different Prior Laws for Bayesian Image Reconstruction in Positron Emission Tomography.- Flexible Prior Models in Bayesian Image Analysis.- Generalized maximum entropy. Comparison with classical maximum entropy.- Binary Task Performance on Images Reconstructed Using MEMSYS 3: Comparison of Machine and Human Observers.- 3D Reconstruction from Only Two Projections?.- A Closed Form Maximum Entropy Approach for Reconstructing Image from Incomplete Projections.- Key Words Index.- Authors Index.

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