Peter J. Bickel
Romanian-born American statistician
From Wikipedia, the free encyclopedia
Peter John Bickel (born 1940) is an American statistician[1] and Professor of Statistics at the University of California, Berkeley.[2] Bickel has made contributions to bootstrapping, robust statistics, machine learning, and other areas of statistics.[1]
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AlmamaterUniversity of California, Berkeley (PhD)
Awards
- MacArthur Fellow (1984)
- COPSS Presidents' Award (1981)
FieldsStatistics
Peter John Bickel | |
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| Born | 1940 (age 85–86) |
| Alma mater | University of California, Berkeley (PhD) |
| Awards |
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| Scientific career | |
| Fields | Statistics |
| Institutions | University of California, Berkeley |
| Thesis | Asymptotically Nonparametric Statistical Inference in the Multivariate Cases |
| Doctoral advisor | Erich Leo Lehmann |
| Doctoral students | |
| Other notable students | |
Education and career
Bickel studied physics at the California Institute of Technology.[3] He graduated from University of California, Berkeley, with a Ph.D., in 1963, where he studied under Erich Leo Lehmann.[4]
His students include C.F. Jeff Wu, Jianqing Fan, Katerina Kechris, Elizaveta Levina, Jingyi Jessica Li, and Donald Andrews.[5]
Personal
He married Nancy Kramer in 1964; they have two children.[6]
Awards
- 1970 Guggenheim Fellow[7]
- 1973 Fellow of the American Statistical Association[8]
- 1981 the recipient of COPSS Presidents' Award[9]
- 1984 MacArthur Fellow
- 1986 Fellow of the American Academy of Arts and Sciences[10]
- 1986 Member of the National Academy of Sciences[11]
- 1986 Honorary Doctorate degree from Hebrew University, Jerusalem
- 1995 Foreign member of the Royal Netherlands Academy of Arts and Sciences[12]
- 2006 Commander of the Order of Orange-Nassau[13]
- 2013 R. A. Fisher Lectureship[14]
- 2014 Honorary Doctorate degree from ETH Zurich[15]