Trevor Hastie
American statistician & computer scientist (born 1953) / From Wikipedia, the free encyclopedia
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Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University.[1] Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge. He also contributed to the development of S.
Trevor John Hastie | |
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Born | (1953-06-27) 27 June 1953 (age 70) |
Nationality | American |
Citizenship | American, South African |
Alma mater | Stanford University University of Cape Town Rhodes University |
Spouse | Lynda Hastie |
Scientific career | |
Fields | Statistical learning, Data mining, bioinformatics |
Institutions | Stanford University AT&T Bell Laboratories |
Doctoral advisor | Werner Stuetzle |
Doctoral students | Hui Zou |