From the publisher's description:
"This book presents some of Arnold Zellner's outstanding contributions to the philosopy, theory and applications of Bayesian analysis, particularly as it relates to statistics, econometrics and economics. . The volume contains both previously published and new material which cite and discuss the work of Bayesians who have made a contribution by helping researchers and analysts in many fields to become more effective in learning from data and making decisions. Bayesian and non-Bayesian approaches are compared in several papers. Other papers include theoretical and applied results on estimation, model comparison, prediction, forecasting, prior densities, model formulation and hypothesis testing. In addition, a new information processing approach is presented that yields Bayes's Theorem as a perfectly efficient information processing rule."