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Author
Trevor Hastie
also known as Hastie, T., Hastie, Trevor, Hastie, Trevor J.
Stanford Medicine · Stanford University · Broad Institute · South African Medical Research Council
About this author
Works
654
Cited by
292,868
h-index
140
i10
377
ORCID ↗
Top papers
The Elements of Statistical Learning
Trevor Hastie, J. Friedman, Robert Tibshirani
·
2001
·
Springer series in statistics
↗ 24,308
OA
The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani, Jerome H. Friedman
·
2009
·
Springer series in statistics
↗ 22,781
Regularization and Variable Selection Via the Elastic Net
Hui Zou, Trevor Hastie
·
2005
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
↗ 20,686
OA
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome H. Friedman
·
2013
↗ 19,404
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome H. Friedman, Trevor Hastie, Robert Tibshirani
·
2010
·
Journal of Statistical Software
↗ 16,852
OA
Regularization Paths for Generalized Linear Models via Coordinate Descent.
Jerome H. Friedman, Trevor Hastie, Rob Tibshirani
·
2010
·
PubMed
↗ 14,009
OA
An Introduction to Statistical Learning
Gareth James, Daniela Witten, Trevor Hastie, et al.
·
2013
·
Springer texts in statistics
↗ 11,545
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Thérese Sørlie, Charles M. Perou, Robert Tibshirani, et al.
·
2001
·
Proceedings of the National Academy of Sciences
↗ 10,905
OA
Least angle regression
Bradley Efron, Trevor Hastie, Iain M. Johnstone, et al.
·
2004
·
The Annals of Statistics
↗ 9,461
OA
Generalized Additive Models.
Richard A. Brown, Trevor Hastie, Robert Tibshirani
·
1991
·
Biometrics
↗ 8,298
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
Jerome H. Friedman, Trevor Hastie, Robert Tibshirani
·
2000
·
The Annals of Statistics
↗ 6,921
OA
A statistical explanation of MaxEnt for ecologists
Jane Elith, Steven J. Phillips, Trevor Hastie, et al.
·
2010
·
Diversity and Distributions
↗ 6,497
OA
Books
The Elements of Statistical Learning
2001
·
Springer-Verlag New York
Generalized additive models
1985
·
Chapman and Hall
Computer Age Statistical Inference
2016
·
Cambridge University Press
Introduction to Statistical Learning
2021
·
Springer
Generalized additive models, cubic splines and personalized likelihood
1987
·
University of Toronto, Dept. of Statistics
Statistical models in S
1993
·
Chapman & Hall
Statistical models in S
1992
·
Wadsworth & Brooks/Cole Advanced Books & Software
Computer-aided diagnosis of mammographic masses
1996
·
University of Toronto, Dept. of Statistics