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Hastie, Trevor John

Author ID: hastie.trevor-j Recent zbMATH articles by "Hastie, Trevor John"
Published as: Hastie, Trevor; Hastie, Trevor J.; Hastie, T. J.
Homepage: https://web.stanford.edu/~hastie/
External Links: MGP · ORCID · Wikidata · dblp · GND · IdRef · theses.fr
all top 5

Co-Authors

3 single-authored
55 Tibshirani, Robert John
12 Friedman, Jerome Harold
9 Zhu, Ji
6 Mazumder, Rahul
6 Rosset, Saharon
5 Efron, Bradley
5 James, Gareth M.
5 Witten, Daniela M.
5 Zou, Hui
4 Tibshirani, Ryan J.
3 Buja, Andreas
3 Fithian, William
3 Narasimhan, Balasubramanian
3 Owen, Art B.
3 Park, Mee Young
3 Taylor, Jonathan E.
2 Bair, Eric
2 Chu, Gilbert
2 Church, Kenneth W.
2 Ghosh, Swarnadip
2 Johnstone, Iain Murray
2 Li, Ping
2 Paul, Debashis
2 Powers, Scott
2 Walther, Günther
2 Zhao, Qingyuan
1 Aghaeepour, Nima
1 Assimes, Themistocles
1 Bareinboim, Elias
1 Barry, Simon C.
1 Bhattacharya, Debopam
1 Bien, Jacob
1 Botstein, David
1 Boyd, Nicholas
1 Boyd, Stephen Poythress
1 Brown, Pat
1 Bühlmann, Peter
1 Cantoni, Eva
1 Chambers, John McKinley
1 Chen, Shizhe
1 Crudu, Federico
1 Davison, Andrew J.
1 Dawid, Philip
1 Didelez, Vanessa
1 Ding, Peng
1 Dominici, Francesca
1 Eisen, Michael B.
1 Elith, Jane
1 Feller, Avi
1 Fine, Jason Peter
1 Foster, Adam
1 Gao, Zijun
1 Goldstein, Benjamin A.
1 Greenacre, Michael J.
1 Groll, Andreas
1 Guo, Yaqian
1 Hansen, Niels Richard
1 Höfling, Holger
1 Hudgens, Michael G.
1 Janson, Lucas
1 Jordan, Michael Irwin
1 Kasza, Jessica
1 Lauritzen, Steffen Lilholt
1 Leathwick, John R.
1 Lee, Jason D.
1 Lee, Kuang-Yao
1 Li, Ruilin
1 Linton, Oliver Bruce
1 Liu, Tianqi
1 López, Freddy Omar
1 Lu, Arthur Yu
1 Lu, Zudi
1 Mateu, Jorge
1 Mccauley, Douglas J.
1 McDermott, Aidan
1 Mcinturff, Alex
1 Meinshausen, Nicolai
1 Mooij, Joris M.
1 Mukherjee, Sach
1 Nibbering, Didier
1 Nowak, Gen
1 Oates, Chris J.
1 Pan, Wenliang
1 Peters, Jonas
1 Pollack, Jonathan R.
1 Porcu, Emilio
1 Qian, Junyang
1 Recht, Benjamin
1 Richardson, Thomas Stuart
1 Rivas, Manuel A.
1 Robins, James M.
1 Sherlock, Gavin
1 Shojaie, Ali
1 Simard, Patrice Y.
1 Simon, Noah Robin
1 Stehlík, Milan
1 Stehlíková, Silvia
1 Stuetzle, Werner
1 Sugar, Catherine A.
1 Tanigawa, Yosuke
...and 17 more Co-Authors

Publications by Year

Citations contained in zbMATH Open

90 Publications have been cited 13,712 times in 10,085 Documents Cited by Year
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2009
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Regularization and variable selection via the elastic net. Zbl 1069.62054
Zou, Hui; Hastie, Trevor
2005
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
2004
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
719
2008
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
545
1993
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
398
2007
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
368
2015
Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
332
2000
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
273
2013
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
246
2001
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
238
1989
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
223
2007
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
152
2000
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
147
1986
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
136
2009
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
135
1995
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
132
1989
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
131
1987
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
130
2010
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
125
2011
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
101
2001
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
100
2016
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
88
1996
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
85
2004
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
84
2007
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
83
2006
\(L_1\)-regularization path algorithm for generalized linear models. Zbl 07555370
Park, Mee Young; Hastie, Trevor
81
2007
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
80
1998
Statistical models in \(S\). Zbl 0776.62007
80
1992
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
62
1994
Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213
Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J.
58
2012
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
52
2014
Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202
Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J.
51
2022
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
50
2004
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
47
2003
Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297
Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai
47
2016
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
46
2015
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
44
1987
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
40
2012
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
38
2000
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
36
1986
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
35
2020
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
33
2004
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
31
2003
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
29
2008
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
27
2007
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
27
2009
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
27
2008
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
24
2014
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
23
2012
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
20
2009
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
20
2007
Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
19
2017
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
18
2021
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
17
2004
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
16
1996
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
16
2002
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
16
2003
The geometric interpretation of correspondence analysis. Zbl 0622.62006
Greenacre, Michael; Hastie, Trevor
15
1987
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
14
2004
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
13
2008
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
13
2020
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
12
1998
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
9
2007
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
9
2015
A closer look at the deviance. Zbl 0607.62084
Hastie, Trevor
9
1987
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
9
2013
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
8
2004
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
8
2007
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
5
2006
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
5
2018
Backfitting for large scale crossed random effects regressions. Zbl 1486.62201
Ghosh, Swarnadip; Hastie, Trevor; Owen, Art B.
4
2022
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
3
2006
Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180
Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert
3
2009
A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247
Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert
3
2011
Assessing the significance of global and local correlations under spatial autocorrelation: a nonparametric approach. Zbl 1419.62464
Viladomat, Júlia; Mazumder, Rahul; Mcinturff, Alex; Mccauley, Douglas J.; Hastie, Trevor
3
2014
Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
3
2015
Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
3
2007
Selection of effects in Cox frailty models by regularization methods. Zbl 1522.62137
Groll, Andreas; Hastie, Trevor; Tutz, Gerhard
3
2017
Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David
2
2002
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
2
2002
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
2
2018
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043
Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor
1
2007
Supervised learning from microarray data. Zbl 1439.62022
Hastie, Trevor; Tibshirani, Robert; Narasimhan, Balasubramanian; Chu, Gilbert
1
2002
Computer age statistical inference. Algorithms, evidence, and data science. Student paperback edition. Zbl 1475.62002
Efron, Bradley; Hastie, Trevor
1
2021
Scalable logistic regression with crossed random effects. Zbl 07603094
Ghosh, Swarnadip; Hastie, Trevor; Owen, Art B.
1
2022
Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202
Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J.
51
2022
Backfitting for large scale crossed random effects regressions. Zbl 1486.62201
Ghosh, Swarnadip; Hastie, Trevor; Owen, Art B.
4
2022
Scalable logistic regression with crossed random effects. Zbl 07603094
Ghosh, Swarnadip; Hastie, Trevor; Owen, Art B.
1
2022
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
18
2021
Computer age statistical inference. Algorithms, evidence, and data science. Student paperback edition. Zbl 1475.62002
Efron, Bradley; Hastie, Trevor
1
2021
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
35
2020
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
13
2020
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
5
2018
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
2
2018
Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
19
2017
Selection of effects in Cox frailty models by regularization methods. Zbl 1522.62137
Groll, Andreas; Hastie, Trevor; Tutz, Gerhard
3
2017
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
100
2016
Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297
Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai
47
2016
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
368
2015
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
46
2015
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
9
2015
Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
3
2015
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
52
2014
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
24
2014
Assessing the significance of global and local correlations under spatial autocorrelation: a nonparametric approach. Zbl 1419.62464
Viladomat, Júlia; Mazumder, Rahul; Mcinturff, Alex; Mccauley, Douglas J.; Hastie, Trevor
3
2014
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
273
2013
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
9
2013
Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213
Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J.
58
2012
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
40
2012
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
23
2012
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
125
2011
A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247
Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert
3
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
130
2010
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2009
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
136
2009
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
27
2009
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
20
2009
Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180
Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert
3
2009
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
719
2008
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
29
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
27
2008
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
13
2008
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
398
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
223
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
84
2007
\(L_1\)-regularization path algorithm for generalized linear models. Zbl 07555370
Park, Mee Young; Hastie, Trevor
81
2007
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
27
2007
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
20
2007
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
9
2007
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
8
2007
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
3
2007
Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043
Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor
1
2007
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
83
2006
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
5
2006
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
3
2006
Regularization and variable selection via the elastic net. Zbl 1069.62054
Zou, Hui; Hastie, Trevor
2005
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
85
2004
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
50
2004
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
33
2004
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
17
2004
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
14
2004
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
8
2004
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
47
2003
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
31
2003
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
16
2003
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
16
2002
Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David
2
2002
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
2
2002
Supervised learning from microarray data. Zbl 1439.62022
Hastie, Trevor; Tibshirani, Robert; Narasimhan, Balasubramanian; Chu, Gilbert
1
2002
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
246
2001
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
101
2001
Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
332
2000
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
152
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
38
2000
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
80
1998
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
12
1998
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
88
1996
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
16
1996
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
135
1995
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
62
1994
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
545
1993
Statistical models in \(S\). Zbl 0776.62007
80
1992
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
238
1989
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
132
1989
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
131
1987
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
44
1987
The geometric interpretation of correspondence analysis. Zbl 0622.62006
Greenacre, Michael; Hastie, Trevor
15
1987
A closer look at the deviance. Zbl 0607.62084
Hastie, Trevor
9
1987
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
147
1986
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
36
1986
all top 5

Cited by 16,360 Authors

55 Lian, Heng
46 Zhang, Riquan
45 Fan, Jianqing
45 Tutz, Gerhard E.
44 Tibshirani, Robert John
39 Bühlmann, Peter
35 Liu, Yufeng
34 Weber, Gerhard-Wilhelm
31 Liang, Hua
29 Zou, Hui
28 Bertsimas, Dimitris John
28 Hastie, Trevor John
27 Huang, Jian
27 Zhu, Lixing
25 Li, Runze
25 Zhou, Yong
25 Zhu, Ji
24 Carrizosa, Emilio
24 Li, Lexin
24 Mammen, Enno
23 Konishi, Sadanori
23 Zhao, Weihua
22 Van de Geer, Sara Anna
22 You, Jinhong
21 Gijbels, Irène
21 Kneib, Thomas
21 Ma, Shuangge
20 Li, Gaorong
20 Lin, Lu
20 Liu, Han
20 Marron, James Stephen
20 Park, Byeong Uk
20 Wang, Qihua
19 Boyd, Stephen Poythress
19 Härdle, Wolfgang Karl
19 Lin, Huazhen
19 Mazumder, Rahul
19 Shen, Xiaotong
19 Yang, Hu
18 Pillonetto, Gianluigi
18 Sugiyama, Masashi
18 Tibshirani, Ryan J.
18 Wand, Matthew P.
18 Wu, Yichao
17 Ahmed, Syed Ejaz
17 Eguchi, Shinto
17 Hall, Peter Gavin
17 Kauermann, Goran
17 Kel’manov, Aleksandr Vasil’evich
17 Leng, Chenlei
17 Linton, Oliver Bruce
17 Yang, Lijian
17 Yuan, Ming
17 Zhang, Jun
16 Cai, Tianwen
16 Croux, Christophe
16 Huang, Zhensheng
16 Kawano, Shuichi
16 Kim, Yongdai
16 Qu, Annie
16 Wood, Simon N.
16 Xue, Liugen
16 Zhang, Hao Helen
16 Zhang, Wenyang
15 Bondell, Howard D.
15 Dunson, David Brian
15 Huang, Jianhua Z.
15 James, Gareth M.
15 Koo, Ja-Yong
15 Lipovetsky, Stan
15 Schmid, Matthias
15 Shojaie, Ali
15 Taylor, Jonathan E.
15 Vieu, Philippe
15 Wasserman, Larry Alan
14 Carroll, Raymond James
14 Claeskens, Gerda
14 Eilers, Paul H. C.
14 Fan, Yingying
14 Feng, Yang
14 Ghosal, Subhashis
14 Hwang, Heungsun
14 Li, Yi
14 Lin, Jinguan
14 Lv, Jing
14 Mai, Qing
14 McNicholas, Paul D.
14 Meinshausen, Nicolai
14 Nott, David John
14 Sperlich, Stefan
14 Wang, Mingqiu
14 Zhang, Cun-Hui
14 Zheng, Zemin
13 Antoniadis, Anestis
13 Bhadra, Anindya
13 Cao, Jiguo
13 Choi, Hosik
13 Hothorn, Torsten
13 Li, Jialiang
13 Lim, Johan
...and 16,260 more Authors
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Cited in 566 Serials

641 Computational Statistics and Data Analysis
332 The Annals of Statistics
285 Biometrics
271 Journal of Multivariate Analysis
271 The Annals of Applied Statistics
247 Journal of the American Statistical Association
242 Electronic Journal of Statistics
227 Journal of Applied Statistics
214 Journal of Statistical Computation and Simulation
206 Statistics and Computing
183 Communications in Statistics. Simulation and Computation
180 Computational Statistics
180 Journal of Machine Learning Research (JMLR)
178 Machine Learning
174 Journal of Statistical Planning and Inference
158 Communications in Statistics. Theory and Methods
151 Pattern Recognition
149 Journal of Computational and Graphical Statistics
135 European Journal of Operational Research
124 The Canadian Journal of Statistics
113 Journal of Econometrics
102 Information Sciences
98 Statistical Science
97 Statistics & Probability Letters
93 Statistical Analysis and Data Mining
91 Journal of Nonparametric Statistics
91 Advances in Data Analysis and Classification. ADAC
90 Stat
87 Neural Networks
86 Biometrical Journal
82 Scandinavian Journal of Statistics
80 Neural Computation
78 Annals of the Institute of Statistical Mathematics
78 Test
69 Statistical Papers
65 Statistica Sinica
65 Journal of the Korean Statistical Society
62 Statistical Modelling
61 Annals of Operations Research
59 Psychometrika
56 Mathematical Programming. Series A. Series B
53 Journal of Computational Physics
53 Journal of Classification
52 Automatica
52 Journal of Computational and Applied Mathematics
52 SIAM Journal on Optimization
49 Bernoulli
47 Journal of Agricultural, Biological, and Environmental Statistics
46 Journal of the Royal Statistical Society. Series B. Statistical Methodology
45 International Statistical Review
44 Computational Optimization and Applications
42 Quantitative Finance
42 Statistical Methods and Applications
42 Bayesian Analysis
41 Computer Methods in Applied Mechanics and Engineering
38 Applied Mathematics and Computation
38 SIAM Journal on Scientific Computing
38 Applied and Computational Harmonic Analysis
37 Australian & New Zealand Journal of Statistics
37 Data Mining and Knowledge Discovery
35 Statistics
34 AStA. Advances in Statistical Analysis
33 The American Statistician
33 SIAM Journal on Mathematics of Data Science
32 Statistical Applications in Genetics and Molecular Biology
31 Metrika
31 Science China. Mathematics
30 Econometric Reviews
30 Journal of Statistical Theory and Practice
29 Computers & Operations Research
29 Lifetime Data Analysis
29 Computational & Mathematical Methods in Medicine
28 Insurance Mathematics & Economics
28 Journal of Global Optimization
27 Inverse Problems
26 Statistical Methodology
26 Journal of Theoretical Biology
25 Mathematical Problems in Engineering
25 SIAM/ASA Journal on Uncertainty Quantification
24 INFORMS Journal on Computing
23 Journal of Optimization Theory and Applications
23 International Journal of Approximate Reasoning
23 Applied Mathematical Modelling
23 ASTIN Bulletin
23 Mathematical Geosciences
21 Operations Research
21 Statistica Neerlandica
21 Acta Mathematicae Applicatae Sinica. English Series
21 Journal of Scientific Computing
21 Optimization Methods & Software
21 Computational Geosciences
21 Journal of Statistical Mechanics: Theory and Experiment
21 Optimization Letters
20 Journal of Mathematical Imaging and Vision
19 Journal of Systems Science and Complexity
18 Artificial Intelligence
18 Applied Stochastic Models in Business and Industry
17 Fuzzy Sets and Systems
17 Economics Letters
17 Journal of the Royal Statistical Society. Series C. Applied Statistics
...and 466 more Serials
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Cited in 56 Fields

7,960 Statistics (62-XX)
1,818 Computer science (68-XX)
1,461 Numerical analysis (65-XX)
1,001 Operations research, mathematical programming (90-XX)
550 Biology and other natural sciences (92-XX)
543 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
351 Probability theory and stochastic processes (60-XX)
256 Information and communication theory, circuits (94-XX)
166 Systems theory; control (93-XX)
147 Linear and multilinear algebra; matrix theory (15-XX)
116 Calculus of variations and optimal control; optimization (49-XX)
105 Geophysics (86-XX)
94 Combinatorics (05-XX)
70 Fluid mechanics (76-XX)
69 Functional analysis (46-XX)
59 Approximations and expansions (41-XX)
55 Dynamical systems and ergodic theory (37-XX)
52 Partial differential equations (35-XX)
51 Operator theory (47-XX)
40 Mechanics of deformable solids (74-XX)
37 Harmonic analysis on Euclidean spaces (42-XX)
36 Statistical mechanics, structure of matter (82-XX)
33 Quantum theory (81-XX)
30 General and overarching topics; collections (00-XX)
17 Differential geometry (53-XX)
15 Ordinary differential equations (34-XX)
14 Algebraic topology (55-XX)
13 Optics, electromagnetic theory (78-XX)
11 History and biography (01-XX)
11 Special functions (33-XX)
11 Convex and discrete geometry (52-XX)
11 Astronomy and astrophysics (85-XX)
10 Real functions (26-XX)
9 Algebraic geometry (14-XX)
8 Measure and integration (28-XX)
7 Mechanics of particles and systems (70-XX)
7 Relativity and gravitational theory (83-XX)
6 Number theory (11-XX)
6 Integral equations (45-XX)
4 Mathematical logic and foundations (03-XX)
4 Commutative algebra (13-XX)
4 Geometry (51-XX)
4 Manifolds and cell complexes (57-XX)
4 Global analysis, analysis on manifolds (58-XX)
3 Order, lattices, ordered algebraic structures (06-XX)
3 Group theory and generalizations (20-XX)
3 Integral transforms, operational calculus (44-XX)
3 Mathematics education (97-XX)
2 Functions of a complex variable (30-XX)
1 Field theory and polynomials (12-XX)
1 Associative rings and algebras (16-XX)
1 Potential theory (31-XX)
1 Several complex variables and analytic spaces (32-XX)
1 Abstract harmonic analysis (43-XX)
1 General topology (54-XX)
1 Classical thermodynamics, heat transfer (80-XX)

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