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Trevor J. Hastie
Professor Emeritus of Statistics
Professor Emeritus of Biomedical Data Science
Professor Emeritus
Joint Appointment or Affiliation:
Bio-X
Data Science
Trevor Hastie's main research contributions have been in the field of 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" (with R. Tibshirani and J. Friedman, Springer 2001). He has also made contributions in statistical computing, co-editing (with J. Chambers) a large software library on modeling tools in the S-plus language ("Statistical Models in S", Wadsworth, 1992).
Current research focuses on applied problems in biology and genomics, medicine and industry, in particular data mining, prediction and classification problems.
Graduation Year
1985
Dissertation Title
Principal Curves and Surfaces
Advisor Name
Stuetzle
Committee Names
Friedman, Efron
Related News
The International Statistical Institute is pleased to announce that Trevor Hastie and his student Hui Zou (2006, now full professor at the University of Minnesota) have been awarded the 2025 Founders of Statistics Prize for Contemporary Research Contributions in recognition of their influential paper,
The C. R. and Bhargavi Rao Prize honors outstanding and influential innovations in the theory and practice of mathematical statistics, international leadership in directing statistical research, and pioneering contributions by a recognized leader in the field.