Accession Number : ADA312364
Title : Maximum Entropy and Bayesian Methods.
Descriptive Note : Final rept. 1 Aug 93-31 Jan 94,
Corporate Author : CALIFORNIA UNIV SANTA BARBARA
Personal Author(s) : Heidbreder, Glenn R. ; Lee, Hua
PDF Url : ADA312364
Report Date : JUL 1996
Pagination or Media Count : 414
Abstract : This volume contains selections from among the presentations at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods- MAXENT93 for short- held at the University of California, Santa Barbara (UCSB), August 1-5, 1993. This annual workshop is devoted to the theory and practice of Bayesian probability and the use of the maximum entropy principle in assigning prior probabilities. Like its predecessors, MAXENT93 attracted researchers and scholars representing a wide diversity of disciplines and applications. These included physicists, geophysicists, astronomers, statisticians, engineers, and economists, among others. Indeed Bayesian methods increasingly compel the interest of any who would apply scientific inference. The impressive successes, so evident in the proceedings of the past workshops, when adherence to Bayesian principles replaces popular ad hoc approaches in problems of inference, continue. Many are reported in this volume. It is perhaps indicative of the growing acceptance of Bayesian methods that the most prominent controversy at the thirteenth workshop was not a Bayesian- frequents confrontation but rather a disagreement over the suitability of using an approximation in the Bayesian formalism.
Descriptors : *MATHEMATICAL MODELS, *BAYES THEOREM, *ENTROPY, ALGORITHMS, SIGNAL PROCESSING, IMAGE PROCESSING, NEURAL NETS, OPTIMIZATION, PARAMETRIC ANALYSIS, PARAMETERS, QUANTUM THEORY, MAXIMUM LIKELIHOOD ESTIMATION, PROBABILITY DISTRIBUTION FUNCTIONS, MATHEMATICAL LOGIC, RESOLUTION, ACCURACY, INPUT OUTPUT PROCESSING, RADAR IMAGES, PROBABILITY DENSITY FUNCTIONS, MATHEMATICAL PROGRAMMING, MATHEMATICAL PREDICTION, ACOUSTIC IMAGES, SYSTEMS ANALYSIS, INVERSE SCATTERING, APPLIED MATHEMATICS, WORKSHOPS, DISTRIBUTION FUNCTIONS, SMOOTHING(MATHEMATICS).
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE