About
Discord Stateoftheart AI
GitHub

Publications

688

Cited by

242744

Trevor Hastie

statistical learning and modelingdata miningmachine learning
Stanford University

United States

Papers and Citations

1 - 50
Random forests
2009
Trevor Hastie
Robert Tibshirani
J Friedman
Cited by 63387
The elements of statistical learning: data mining, inference, and prediction
2009
Trevor Hastie
Robert Tibshirani
Jerome Friedman
Cited by 57163
Generalized linear models
1992
Trevor Hastie
Cited by 39003
Generalized additive models
1990
Robert Tibshirani
Trevor Hastie
Cited by 18339
Regularization and variable selection via the elastic net
2018
N Soranzo
CD Engelman
A Bonnet
+137
Cited by 12219
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
2001
Robert Tibshirani
Therese S�rlie
Charles M. Perou
+14
Cited by 11693
Least angle regression
2004
Iain Johnstone
B Efron
Robert Tibshirani
+2
Cited by 10261
Regularization paths for generalized linear models via coordinate descent
2010
Trevor Hastie
Jerome Friedman
Robert Tibshirani
Cited by 9397
Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)
2000
Robert Tibshirani
Trevor Hastie
Jerome Friedman
Cited by 7403
Estimating the number of clusters in a data set via the gap statistic
2001
Trevor Hastie
Robert Tibshirani
G Walther
Cited by 4682
Sparse inverse covariance estimation with the graphical lasso
2008
Jerome Friedman
Trevor Hastie
Robert Tibshirani
Cited by 4367
A statistical explanation of MaxEnt for ecologists
2011
CJ Yates
M Dudík
YE Chee
+3
Cited by 4257
A working guide to boosted regression trees
2008
john leathwick
Jane Elith
Trevor Hastie
Cited by 4133
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n
2007
Robert Tibshirani
B Efron
Trevor Hastie
Cited by 3420
Missing value estimation methods for DNA microarrays
2001
Olga Troyanskaya
Trevor Hastie
Robert Tibshirani
+5
Cited by 3282
Extremely randomized trees
2009
Trevor Hastie
J Friedman
R Tibshirani
Cited by 3219
Diagnosis of multiple cancer types by shrunken centroids of gene expression
2002
Gilbert Chu
Balasubramanian Narasimhan
Robert Tibshirani
+2
Cited by 3168
Sparse principal component analysis
2006
Hui Zou
Robert Tibshirani
Trevor Hastie
Cited by 2857
Varying‐coefficient models
1993
Robert Tibshirani
Trevor Hastie
Cited by 2165
Statistical learning with sparsity: the lasso and generalizations
2015
Martin Wainwright
Robert Tibshirani
Trevor Hastie
Cited by 2161
Pathwise coordinate optimization
2007
Trevor Hastie
Jerome Friedman
Robert Tibshirani
+1
Cited by 2068
Generalized linear and generalized additive models in studies of species distributions: setting the scene
2002
Trevor Hastie
Antoine Guisan
TC Edwards Jr
Cited by 2043
Classification by pairwise coupling
1998
Trevor Hastie
Robert Tibshirani
Cited by 1901
Principal curves
1989
Werner Stuetzle
Trevor Hastie
Cited by 1881
Linear smoothers and additive models
1989
Trevor Hastie
Robert Tibshirani
Andreas Buja
Cited by 1290
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
2009
Trevor Hastie
Robert Tibshirani
Daniela Witten
Cited by 1272
Multi-class adaboost
2009
Trevor Hastie
Ji Zhu
Hui Zou
+1
Cited by 1223
Discriminant adaptive nearest neighbor classification and regression
1996
Trevor Hastie
Robert Tibshirani
Cited by 1209
Statistical Computing
2018
Trevor Hastie
D Pregibon
Cited by 1151
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival
2005
Robert Tibshirani
Trevor Hastie
Howard Y. Chang
+10
Cited by 1089
1-norm support vector machines
2004
Robert Tibshirani
Saharon Rosset
Ji Zhu
+1
Cited by 1047
Spectral regularization algorithms for learning large incomplete matrices
2010
Trevor Hastie
Rahul Mazumder
Robert Tibshirani
Cited by 1036
Penalized discriminant analysis
1995
Andreas Buja
Robert Tibshirani
Trevor Hastie
Cited by 1001
On the “degrees of freedom” of the lasso
2007
Hui Zou
Trevor Hastie
Robert Tibshirani
Cited by 961
A sparse-group lasso
2013
Trevor Hastie
Noah Simon
Jerome Friedman
+1
Cited by 954
Discriminant Analysis by Gaussian Mixtures
1996
Trevor Hastie
Cited by 891
Resampling methods
2013
G James
D Witten
Robert Tibshirani
+1
Cited by 885
Repeated observation of breast tumor subtypes in independent gene expression data sets
2003
Janos Demeter
Robert Pesich
Patrick O Brown
+13
Cited by 805
The entire regularization path for the support vector machine
2004
Trevor Hastie
Saharon Rosset
Robert Tibshirani
+1
Cited by 798
Prediction by supervised principal components
2006
Trevor Hastie
Eric Bair
Robert Tibshirani
+1
Cited by 785
Flexible discriminant analysis by optimal scoring
1994
Trevor Hastie
Andreas Buja
Robert Tibshirani
Cited by 765
A note on the group lasso and a sparse group lasso
2010
Jerome Friedman
Robert Tibshirani
Trevor Hastie
Cited by 734
Genome-wide association analysis by lasso penalized logistic regression
2009
Yang Chen
Kenneth Lange
Eric Sobel
+2
Cited by 717
'Gene shaving'as a method for identifying distinct sets of genes with similar expression patterns
2000
Trevor Hastie
Michael B. Eisen
Ash A. Alizadeh, MD, PhD
+6
Cited by 689
Local likelihood estimation
1987
Trevor Hastie
Robert Tibshirani
Cited by 667
Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers
2006
liang wang
Trevor Hastie
Jen-Tsan Ashley Chi
+13
Cited by 650
Regularized linear discriminant analysis and its application in microarrays
2007
Robert Tibshirani
Trevor Hastie
Y Guo
Cited by 645
Bone mineral acquisition in healthy Asian, Hispanic, black, and Caucasian youth: a longitudinal study
1999
LK Bachrach
R Marcus
Balasubramanian Narasimhan
+2
Cited by 625
Kernel logistic regression and the import vector machine
2002
Ji Zhu
Trevor Hastie
Cited by 609
Local regression: Automatic kernel carpentry
1993
Trevor Hastie
C Loader
Cited by 577