Written by world–class econometric statistician Arnold Zellner, Information Processing and Bayesian Analysis presents a new approach to the problem of learning from data that integrates information and Bayesian analyses and applies it to many statistical and econometric problems such as measurement and description, estimation, testing, forecasting, prediction, model diagnostics, model comparison and combination, and control. Results obtained using the new techniques described in the book are compared to those generated by traditional means.