Proceedings of Workshop on Maximum Entropy and Bayesian Methods (13th) Held in Santa Barbara, California on August 1-5, 1993

Book excerpt: Partial contents include: (1) AN INTRODUCTION TO MODEL SELECTION USING PROBABILITY THEORY AS LOGIC; (2) HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT?; (3) WHAT BAYES HAS TO SAY ABOUT THE EVIDENCE PROCEDURE; (4) RECONCILING BAYESIAN AND NON-BAYESIAN ANALYSIS; (5) BAYESIAN ROBUSTNESS: A NEW LOOK FROM GEOMETRY; (6) LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS: MAXIMUM AND AVERAGE SENSITIVITY; (7) BAYESIAN ROBUSTNESS: A NEW LOOK FROM GEOMETRY; (8) LOCAL POSTERIOR ROBUSTNESS WITH PARAMETRIC PRIORS: MAXIMUM AND AVERAGE SENSITIVITY; (9) TREE-STRUCTURED CLUSTERING VIA THE MINIMUM CROSS ENTROPY PRINCIPLE; (10) A SCALE-INVARIANT BAYESIAN METHOD TO SOLVE LINEAR INVERSE PROBLEMS; (11) MAXIMUM ENTROPY SIGNAL TRANSMISSION; (12) MAXIMUM QUANTUM ENTROPY FOR CLASSICAL DENSITY FUNCTIONS; (13) SMOOTHING IN MAXIMUM QUANTUM ENTROPY; (14) DENSITY ESTIMATION BY MAXIMUM QUANTUM ENTROPY; (15) A BAYESIAN GENETIC ALGORITHM FOR CALCULATING MAXIMUM ENTROPY DISTRIBUTIONS; (16) A MATHEMATICIAN PACKAGE FOR SYMBOLIC BAYESIAN CALCULATIONS; (17) A MULTICRITERION EVALUATION OF THE MEMSYS5 PROGRAM FOR PET; (18) PARALLEL MAXIMUM ENTROPY RECONSTRUCTION OF PET IMAGES; (19) BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION; (20) BAYESIAN MO%MODELING AND CLASSIFICATION OF NEURAL SIGNALS; (21) PIXON-BASED IMAGE RECONSTRUCTION; (22) SUPER-RESOLVED SURFACE RECONSTRUCTION FROM MULTIPLE IMAGES; (23) BAYESIAN ANALYSIS OF LINEAR PHASED-ARRAY RADAR; (24) NEURAL NETWORK IMAGE DECONVOLUTION; (25) BAYESIAN RESOLUTION OF CLOSELY SPACED OBJECT; (26) ULTRASONIC IMAGE IMPROVEMENT THROUGH THE USE OF BAYESIAN PRIORS WHICH ARE BASED ON ADJACENT SCANNED TRACES; and (27) APPLICATION OF MAXENT TO INVERSE PHOTOEMISSION SPECTROSCOPY.