S. James Press's many contributions to statistical research, lecturing, mentoring students, the statistics profession, etc. are summarized. Then some new developments in Bayesian analysis are described and remarks on the future of Bayesian analysis are presented.S. James Press, Bayesian analysis, statistical inference, optimal learning models, Bayes' theorem

Arnold Zellner

English

A (2004b), Generalizing the Standard Product Rule of Probability Theory. H.G.B. Alexander Research Foundation Working Paper,

A Bayesian Growth and Yield Model for Slash Pine Plantations,

A Treatise on Probability London:

Alternative Functional Forms for Production, Cost and Returns to Scale Functions.

An Introduction to Bayesian Inference in Econometrics,

An Invariant Form for the Prior Probability in Estimation Problems.

Applied Multivariate Analysis

Basic Issues in Econometrics.

Bayesian Analysis in Econometrics and Statistics: The Zellner View and Papers. Invited contribution to

Bayesian Computer Programs.

Bayesian Methods and Entropy in Economics and Econometrics.

co-editor, Bayesian and Likelihood Methods

Coherent Predictions are Strategic.

Current Developments in Productivity and Efficiency Measurement. Annals Issue,

Fisher Lecture: Could Fisher, Jeffreys and Neyman Have Agreed on Testing? (with discussion),

Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model.

Inferring the Nutrient Content of Food with Prior Information.

Information and Learning.

Information Processing and Bayesian Analysis. Presented to ASA meeting Aug.

Information Theory and Bayesian Statistics.

Information Theory and Entropy Econometrics,

Information Theory and Statistics.

On Generalized Inverses and Prior Information in Regression Analysis,” ms.,

On Measures of Entropy and Information.

Optimal Information Processing and Bayes’s Theorem. The American Statistician 42, 278-294, with discussion and the author’s reply.

Posterior Distribution for the Multiple Correlation Coefficient with Fixed Regressors.

Presented to American Statistical Association meeting Aug.

Principal Information Theoretic Approaches.

Probability Theory, Cambridge:

Size Matters: The Standard Error of Regression in the American Economic Review.

Some Alternatives to Bayes’s Rule.

Some Aspects of the History of Bayesian Information Processing.

Subjective and Objective Bayesian Statistics: Principles, Models, and Applications.

The Experts Speak. First revised ed.,

The Prevision of a Prevision,

The Subjectivity of Scientists and the Bayesian Approach.

The t-Ratio Distribution.

Theory of Probability. 3rd revised edition,

To Test or Not to Test, and If So, How? Comments on Size Matters: The Standard Error of Regression in the American Economic Review.

Traditional Bayes and the Bayesian Method of Moments Analysis for the Mixed Linear Model with an Application to Animal Breeding.

Honorary Lecture on S. James Press and Bayesian Analysis