Bayesian Analysis in Statistics and Econometrics: 75 (Lecture Notes in Statistics) - Tapa blanda

This volume is based on the invited and the contributed presentations given at the Indo-U.S. Workshop on Bayesian Analysis in Statistics and Econometrics (BASE), Dec. 19-23, 1988, held at the Hotel Taj Residency, Bangalore, India. The workshop was jointly sponsored by The Ohio State University, The Indian Statistical Institute, The Indian Econometrics So­ ciety, U.S. National Science Foundation and the NSF-NBER Seminar on Bayesian Inference in Econometrics. Profs. Morrie DeGroot, Prem Goel, and Arnold Zellner were the program organizers. Unfortunately, Morrie became seriously ill just before the workshop was to start and could not participate in the workshop. Almost a year later, Morrie passed away after fighting valiantly with the illness. Not to find Morrie among ourselves was a shock for most of us. He was a continuous source of inspiration and ideas. Even while Morrie was fighting for his life, we had a lot of discussions about the contents of this volume and the Bangalore Workshop. He even talked about organizing a Second Indo-U.S. workshop some time in the near future. We are dedicating this volume to the memory of Prof. Morris H. DeGroot. We have taken a conscious decision not to include any biography of Morrie in this volume. An excellent biography of Morrie has appeared in Statistical Science [(1991), vol. 6, 1-14], and we could not have done a better job than that.

This volume comprises papers based on some invited and contributed presentations at the Indo-U.S. Workshop on Bayesian Analysis in Statistics and Econometrics, held at the Indian Statistical Institute, Bangalore, India. The volume is dedicated to Professor Morris H. DeGroot, who along with Professor Arnold Zellner, played a key role in the selection of the invited speakers at the workshop. Topics covered include Bayesian computing, contextual classification of remotely sensed data, discrete data and non-parametric Bayes analysis, elicitation of prior information, hierarchical and empirical Bayes interference, reliability and dose response modeling, robustness, and time series modeling and forecasting. All papers are written by experts in their respective fields. All statisticians and econometricians interested in making inference with Bayesian paradigm will like this volume.