2023 - Research.com Mathematics in United States Leader Award
2019 - Royal Netherlands Academy of Arts and Sciences
2019 - Wald Memorial Lecturer
2018 - Member of the National Academy of Sciences
1998 - Fellow of the American Statistical Association (ASA)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie;Robert J. Tibshirani;Jerome Friedman.
(2013)
The Elements of Statistical Learning
Trevor Hastie;Robert Tibshirani;Jerome H. Friedman.
(2001)
Regularization and variable selection via the elastic net
Hui Zou;Trevor Hastie.
Journal of The Royal Statistical Society Series B-statistical Methodology (2005)
An introduction to statistical learning
Gareth James;Daniela Witten;Trevor Hastie;Robert Tibshirani.
(2013)
Generalized Additive Models.
R. A. Brown;T. J. Hastie;R. J. Tibshirani.
Biometrics (1991)
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Therese Sørlie;Charles M. Perou;Robert Tibshirani;Turid Aas.
Proceedings of the National Academy of Sciences of the United States of America (2001)
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome Friedman;Trevor Hastie;Robert Tibshirani.
Journal of Statistical Software (2010)
Least angle regression
Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani.
Annals of Statistics (2004)
Additive Logistic Regression : A Statistical View of Boosting
Jerome Friedman;Trevor Hastie;Robert Tibshirani.
Annals of Statistics (2000)
Repeated observation of breast tumor subtypes in independent gene expression data sets
Therese Sørlie;Robert Tibshirani;Joel Parker;Trevor Hastie.
Proceedings of the National Academy of Sciences of the United States of America (2003)
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