James Orvis Berger
Jim Berger at Oberwolfach in 2005
Born (1950-04-06) 6 April 1950
Minneapolis, Minnesota
NationalityAmerican
Alma materCornell University
Known forBayesian inference, Statistical hypothesis testing, Computer experiments
AwardsCOPSS Presidents' Award (1985)
National Academy of Sciences (2003)
Guggenheim Fellowship
IMS R. A. Fisher Lectureship
Scientific career
FieldsStatistician, Bayesian
InstitutionsPurdue University
Duke University
ThesisAdmissibility in Location Parameter Problems (1974)
Doctoral advisorLawrence D. Brown
Doctoral studentsDipak K. Dey

James Orvis Berger (born April 6, 1950, in Minneapolis, Minnesota)[1] is an American statistician best known for his work on Bayesian statistics and decision theory. He won the COPSS Presidents' Award, one of the two highest awards in statistics, in 1985 at the age of 35. 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 was also director of the Statistical and Applied Mathematical Sciences Institute from 2002 to 2010, and has been a visiting professor at the University of Chicago since 2011.[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 978-0-387-96098-2.
  • Wolpert, Robert L.; Berger, James O. (1988). The Likelihood Principle. Institute of Mathematical Statistics. ISBN 978-0-940600-13-3.

References

  1. 1 2 Wolpert, Robert L. (2004). "A Conversation with James O. Berger". Statistical Science. 19 (1): 205–218. doi:10.1214/088342304000000053.
  2. ↑ "ISI Highly Cited: James O. Berger". ISI Web of Knowledge. 2003. {{cite journal}}: Cite journal requires |journal= (help)
  3. ↑ "Statistical and Applied Mathematical Sciences Institute". Archived from the original on 2008-09-30.
  4. ↑ Berger, J. O. (1982). "Selecting a Minimax Estimator of a Multivariate Normal Mean". The Annals of Statistics. 10: 81–92. doi:10.1214/aos/1176345691.
  5. ↑ Brown, L. (1980). "Examples of Berger's Phenomenon in the Estimation of Independent Normal Means". The Annals of Statistics. 8 (3): 572–585. doi:10.1214/aos/1176345009.
  6. ↑ 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. S2CID 396772.
  7. ↑ "Statistician James O. Berger Elected to National Academy of Sciences". PR Newswire. 2003. {{cite journal}}: Cite journal requires |journal= (help)
  8. ↑ "James O. Berger: Doctor of Science". Purdue University. 2004. {{cite journal}}: Cite journal requires |journal= (help)
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