Jim Berger (statistician)
| James O. Berger | |
|---|---|
 | |
| Born |
6 April 1950 Minneapolis, Minnesota |
| Residence | United States |
| Nationality | American |
| Fields | Statistician, Bayesian |
| Institutions |
Purdue University Duke University |
| Alma mater | Cornell University |
| Thesis | Admissibility in Location Parameter Problems (1974) |
| Doctoral advisor | Lawrence D. Brown |
| Doctoral students |
Mark Berliner Ming-Hui Chen Dipak K. Dey Duncan Fong Feng Liang Peter Müller Keying Ye Man Suk Oh James Scott Dongchu Sun |
| Known for | Bayesian inference, Statistical hypothesis testing, Computer experiments |
| Notable awards |
COPSS Presidents' Award (1985) National Academy of Sciences (2003) Guggenheim Fellowship IMS R. A. Fisher Lectureship |
James O. Berger (born April 6, 1950 in Minneapolis, Minnesota)[1] is an American statistician. He received a Ph.D. in mathematics from Cornell University in 1974. He was a faculty member in the Department of Statistics at Purdue University until 1997, at which time he moved to the Institute of Statistics and Decision Sciences (now the Department of Statistical Science) at Duke University, where he is currently the Arts and Sciences Professor of Statistics. He has also been Director of the Statistical and Applied Mathematical Sciences Institute since 2002.[1][2][3]
Contributions to Science
Berger has worked on the decision theoretic bases of Bayesian inference, including advances on the Stein phenomenon[4][5] during and after his thesis. He has also greatly contributed to advances in the so-called objective Bayes approach where prior distributions are constructed from the structure of the sampling distributions and/or of frequentist properties. He is also recognized for his analysis of the opposition between Bayesian and frequentist visions on testing statistical hypotheses, with criticisms of the use of p-values[6] and critical levels.
Awards and honors
Berger has received numerous awards for his work: Guggenheim Fellowship, the COPSS Presidents' Award and the R. A. Fisher Lectureship. He was elected as a Fellow of the American Statistical Association and to the National Academy of Sciences in 2003.[7] In 2004, he was awarded an honorary Doctor of Science degree by Purdue University.[8]
Bibliography
- Berger, James O. (1985). Statistical Decision Theory and Bayesian Analysis. Berlin: Springer-Verlag. ISBN 0-387-96098-8.
- Wolpert, Robert L.; Berger, James O. (1988). The Likelihood Principle. Institute of Mathematical Statistics. ISBN 0-940600-13-7.
References
- 1 2 Wolpert, Robert L. (2004). "A Conversation with James O. Berger". Statistical Science 19 (1): 205. doi:10.1214/088342304000000053.
- ↑ "ISI Highly Cited: James O. Berger". ISI Web of Knowledge. 2003.
- ↑ "Statistical and Applied Mathematical Sciences Institute".
- ↑ Berger, J. O. (1982). "Selecting a Minimax Estimator of a Multivariate Normal Mean". The Annals of Statistics 10: 81. doi:10.1214/aos/1176345691.
- ↑ Brown, L. (1980). "Examples of Berger's Phenomenon in the Estimation of Independent Normal Means". The Annals of Statistics 8 (3): 572. doi:10.1214/aos/1176345009.
- ↑ Sellke, Thomas; Bayarri, M. J.; Berger, James O. (2001). "Calibration of p Values for Testing Precise Null Hypotheses". The American Statistician 55 (1): 62–71. doi:10.1198/000313001300339950. JSTOR 2685531.
- ↑ "Statistician James O. Berger Elected to National Academy of Sciences". PR Newswire. 2003.
- ↑ "James O. Berger: Doctor of Science". Purdue University. 2004.
External links
|