Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993 [Hardcover]

Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.Proceedings of the Thirteenth International Workshop on Maximum Entropy and Bayesian MethodsMaximum entropy and Bayesian methods have fundamental, central roles in scientific inference, and, with the growing availability of computer power, are being successfully applied in an increasing number of applications in many disciplines. This volume contains selected papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes an extensive tutorial section, and a variety of contributions detailing application in the physical sciences, engineering, law, and economics.
Audience: Researchers and other professionals whose work requires the application of practical statistical inference.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. Rodr?guez. Local Posterior Robustness with Parametric Priors: Maximum and Average Sensitivity; S. Basu, et al. Clustering. Tree-Struclc<