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]
Peter John Bickel
| |
|---|---|
| Born | 1940 (age 83–84) |
| Alma mater | University of California, Berkeley (PhD) |
| Awards |
|
| 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 |
|
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, and Donald Andrews.[5]
He married Nancy Kramer in 1964; they have two children.[6]
{{cite web}}: CS1 maint: archived copy as title (link)