Trevor Hastie
Academic Appointments
- Professor, Natural Sciences Cluster - Statistics
- Professor, Health Research & Policy - Biostatistics
- Member, Bio-X
- Member, Stanford Cancer Institute
Key Documents
Contact Information
- Academic Offices
Personal Information Email Tel (650) 725-2231
Professional Overview
Administrative Appointments
- Chair, Department of Statistics (2006 - 2009)
Honors and Awards
- Fellow, South African Statistical Association (2011)
- Myrto Lefkopolou award, Harvard School of Public Health (1996)
- Craig Award, University of Iowa (1996)
- Fellow, American Statistical Association (1998)
- Elected Member, International Statistics Institute (1994)
- Fellow, Institute of Mathematical Statistics (1996)
Professional Education
| B.Sc (hons): | Rhodes University, Statistics (1976) |
| M.Sc: | University of Cape Town, Statistics (1979) |
| Ph.D.: | Stanford University, Statistics (1984) |
Internet Links
Scientific Focus
Current Research Interests
Trevor Hastie specializes in applied nonparametric regression and
classification, and he has written two books in this area:
"Generalized Additive Models" (with R. Tibshirani, Chapman and Hall,
1991), and "Elements of Statistical Learning (second edition)" (with R. Tibshirani and J. Friedman, Springer 2009). He has also made contributions in statistical computing, co-editing (with J. Chambers) a large software
library on modeling tools in the S language used in R and Splus
("Statistical Models in S", Wadsworth, 1992). His current research
focuses on applied problems in biology and genomics, medicine and
industry, in particular data mining, prediction and classification
problems.
Publications
- Elements of Statistical Learning: datamining, inference, and prediction (second edition) Springer. 2009
- Generalized Additive Models --. 1990
- Coronary risk assessment among intermediate risk patients using a clinical and biomarker based algorithm developed and validated in two population cohorts. Curr Med Res Opin. 2012; (11): 1819-30
- No increased mortality with early aortic aneurysm disease. J Vasc Surg. 2012; (5): 1246-51
- A fused lasso latent feature model for analyzing multi-sample aCGH data. Biostatistics. 2011; (4): 776-91
- Cell type-specific gene expression differences in complex tissues. Nat Methods. 2010; (4): 287-9
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