Trevor Hastie
Trevor Hastie
Professor of Statistics, Stanford University
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Elements of Statistical Learning
F Hastie, Tibshirani, 2001
Generalized Additive Models
THR Tibshirani
Regularization and variable selection via the elastic net
H Zou, T Hastie
Journal of the royal statistical society: series B (statistical methodology …, 2005
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
T Sørlie, CM Perou, R Tibshirani, T Aas, S Geisler, H Johnsen, T Hastie, ...
Proceedings of the National Academy of Sciences 98 (19), 10869-10874, 2001
An introduction to statistical learning
G James, D Witten, T Hastie, R Tibshirani
springer 112, 18, 2013
Regularization paths for generalized linear models via coordinate descent
J Friedman, T Hastie, R Tibshirani
Journal of statistical software 33 (1), 1, 2010
Least angle regression
B Efron, T Hastie, I Johnstone, R Tibshirani
The Annals of statistics 32 (2), 407-499, 2004
Elements of Statistical Learning
F Hastie, Tibshirani, 2009
Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)
J Friedman, T Hastie, R Tibshirani
The annals of statistics 28 (2), 337-407, 2000
Estimating the number of clusters in a data set via the gap statistic
R Tibshirani, G Walther, T Hastie
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001
A statistical explanation of MaxEnt for ecologists
J Elith, SJ Phillips, T Hastie, M Dudík, YE Chee, CJ Yates
Diversity and distributions 17 (1), 43-57, 2011
Sparse inverse covariance estimation with the graphical lasso
J Friedman, T Hastie, R Tibshirani
Biostatistics 9 (3), 432-441, 2008
A working guide to boosted regression trees
J Elith, JR Leathwick, T Hastie
Journal of animal ecology 77 (4), 802-813, 2008
Missing value estimation methods for DNA microarrays
O Troyanskaya, M Cantor, G Sherlock, P Brown, T Hastie, R Tibshirani, ...
Bioinformatics 17 (6), 520-525, 2001
The Dantzig selector: Statistical estimation when p is much larger than n
E Candes, T Tao
The annals of Statistics 35 (6), 2313-2351, 2007
Statistical models
JM Chambers, TJ Hastie
Statistical models in S, 13-44, 2017
Sparse principal component analysis
H Zou, T Hastie, R Tibshirani
Journal of computational and graphical statistics 15 (2), 265-286, 2006
Diagnosis of multiple cancer types by shrunken centroids of gene expression
R Tibshirani, T Hastie, B Narasimhan, G Chu
Proceedings of the National Academy of Sciences 99 (10), 6567-6572, 2002
Statistical learning with sparsity
T Hastie, R Tibshirani, M Wainwright
Monographs on statistics and applied probability 143, 143, 2015
Generalized linear and generalized additive models in studies of species distributions: setting the scene
A Guisan, TC Edwards Jr, T Hastie
Ecological modelling 157 (2-3), 89-100, 2002
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