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Professor of Statistics Hal Stern—together with his coauthors Andrew Gelman, John B. Carlin, David B. Dunson, Aki Vehtari and Donald B. Rubin—has received the DeGroot Prize for his book, Bayesian Data Analysis.

The DeGroot Prize, awarded by the International Society for Bayesian Analysis (ISBA), recognizes influential texts concerned with fundamental issues of statistical inference, decision theory and statistical applications. Named for Morris H. “Morrie” DeGroot, the prize “recognizes the impact and importance of his work in Statistics and Decision Theory, and his marked influence on the evolution of the discipline over several decades through his personal scholarship, educational and professional leadership,” according to ISBA.

Bayesian Data Analysis is a leading textbook on Bayesian methods with its accessible introduction to the statistical theory. The book adopts a practical approach and offers many examples of real statistical analyses throughout. It has proven to be a useful text for undergraduates, graduate students and researchers alike.

The ISBA promotes the development and application of Bayesian analysis useful in the solution of theoretical and applied problems in science, industry and government. It also sponsors and organizes meetings of the Bayesian community and publishes the electronic journal Bayesian Analysis.