Maximum Entropy and Bayesian Methods Santa Barbara, California, U.s.a., 1993: Santa Barbara, California, U.s.a., 1993 - Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods - Fundamental Theories of Physics

Marc Notes: Includes bibliographical references and index. Table of Contents: Preface. An Introduction to Model Selection Using Probability Theory as Logic; G. L. Bretthorst. Bayesian Hyperparameters. Hyperparameters: Optimize, or Integrate Out? D. J. C. MacKay. What Bayes has to Say About the Evidence Procedure; D. H. Wolpert, C. E. M. Strauss. Reconciling Bayesian and Non-Bayesian Analysis; D. H. Wolpert. Bayesian Robustness. Bayesian Robustness: A New Look from Geometry; C. C. Rodriguez. Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity; S. Basu, et al. Clustering. Tree-Structured Clustering via the Minimum Cross Entropy Principle; D. Miller, K. Rose. Inverse Problems. A Scale-Invariant Bayesian Method to Solve Linear Inverse Problems; A. Mohammad-Djafari, J. Idier. Maximum Entropy Signal Transmission; E. A. Robinson. Quantum Probability Theory. Maximum Quantum Entropy for Classical Density Functions; T. C. Wallstrom. Smoothing in Maximum Quantum Entropy; T. C. Wallstrom. Density Estimation by Maximum Quantum Entropy; R. N. Silver, et al. Philosophy. Belief and Desire; A. J. M. Garrett. Computational Issues. A Bayesian Genetic Algorithm for Calculating Maximum Entropy Distributions; N. Pendock. A MathematicaTM Package for Symbolic Bayesian Calculations; P. Desmedt, I. Lemahieu. A Multicriterion Evaluation of the MEMSYS5 Program for PET; P. Desmedt, et al. Parallel Maximum Entropy Reconstruction of PET Images; K. Bastiaens, et al. Applications. Bayesian Non- Linear Modeling for the Prediction Competition; D. J. C. MacKay. Bayesian Modeling and Classification of Neural Signals; M. S. Lewicki. Estimators for the Cauchy Distribution; K. M. Hanson, D. R. Wolf. Probability Theory and Multiexponential Signals: How Accurately can the Parameters be Determined; A. Ramaswami, G. L. Bretthorst. Pixon-Based Image Reconstruction; R. C. Puetter, R. K. Pina. Super-Resolved Surface Reconstruction from Multiple Images; P. Cheeseman, et al. Bayesian Analysis of Linear Phased-Array Radar; A. G. Green, D. J. C. MacKay. Neural Network Image Deconvolution; J. E. Tansley, et al. Bayesian Resolution of Closely Spaced Objects; N. W. Schulenburg. Ultrasonic Image Improvement through the Use of Bayesian Priors which are Based on Adjacent Scanned Traces; L. Roemer, J. Zhang. Application of Maxent to Inverse Photoemission Spectroscopy; W. von der Linden, et al. An Entropy Estimator Algorithm and Telecommunications Applications; N. T. Plotkin, A. J. Wyner. A Common Bayesian Approach to Multiuser Detection and Channel Equalization; L. Mailaender, R. A. Iltis. Thermostatics in Financial Economics; M. J. Stutzer. Lessons from the New Evidence Scholarship; G. A. Vignaux, B. Robertson. How Good are a Set of Probability Predictions? The Expected Recommendation Loss (ERL) Scoring Rule; D. B. Rosen. Index."Publisher Marketing: Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference. This volume contains papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes a section, and contributions detailing application in the physical sciences, engineering, law, and economics.