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Hastie, Trevor John

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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/
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all top 5

Co-Authors

3 single-authored
50 Tibshirani, Robert John
10 Friedman, Jerome Harold
9 Zhu, Ji
6 Mazumder, Rahul
6 Rosset, Saharon
5 Zou, Hui
4 Efron, Bradley
4 James, Gareth M.
4 Tibshirani, Ryan J.
4 Witten, Daniela M.
3 Buja, Andreas
3 Fithian, William
3 Narasimhan, Balasubramanian
3 Park, Mee Young
2 Bair, Eric
2 Chu, Gilbert
2 Church, Kenneth W.
2 Johnstone, Iain Murray
2 Owen, Art B.
2 Paul, Debashis
2 Powers, Scott
2 Taylor, Jonathan E.
2 Walther, Günther
2 Zhao, Qingyuan
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 Ghosh, Swarnadip
1 Goldstein, Benjamin A.
1 Greenacre, Michael J.
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 Kumar, Kuldeep
1 Lauritzen, Steffen Lilholt
1 Leathwick, John R.
1 Lee, Jason D.
1 Lee, Kuang-Yao
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 Recht, Benjamin
1 Richardson, Thomas Stuart
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 Thwaites, Peter Adam
1 VanderWeele, Tyler J.
1 Viladomat, Júlia
1 Wager, Stefan
1 Wainwright, Martin J.
1 Wang, Jingshu
1 Wang, Linbo
...and 8 more Co-Authors

Publications by Year

Citations contained in zbMATH Open

84 Publications have been cited 9,753 times in 7,256 Documents Cited by Year
Regularization and variable selection via the elastic net. Zbl 1069.62054
Zou, Hui; Hastie, Trevor
2005
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2009
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
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
517
2008
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
460
1993
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
316
2007
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
270
2000
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
202
1989
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
202
2015
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
196
2001
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
183
2007
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
117
2000
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
116
1987
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
116
1995
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
114
1989
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
113
2013
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
105
1986
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
100
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
83
2010
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
76
2001
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
74
1996
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
71
1998
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
70
2004
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
64
2007
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
58
2006
Statistical models in \(S\). Zbl 0776.62007
56
1992
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
56
1994
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
47
2016
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
42
2003
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
42
2004
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
31
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
31
2009
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
30
2014
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
29
2000
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
28
1987
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
28
2015
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
28
2012
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.
28
2012
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
27
2004
Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297
Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai
26
2016
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
25
2003
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
22
2008
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
22
2007
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
20
2009
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
20
2008
The geometric interpretation of correspondence analysis. Zbl 0622.62006
Greenacre, Michael; Hastie, Trevor
15
1987
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
15
2007
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
15
2004
Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
14
2017
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
14
2009
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
14
2002
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
13
2012
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
11
2020
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
10
2004
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
10
1996
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
10
2014
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
10
2008
A closer look at the deviance. Zbl 0607.62084
Hastie, Trevor
9
1987
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
9
1998
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
9
2003
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
7
2013
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
7
2004
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
7
2020
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
6
2015
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
6
2007
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202
Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J.
5
2022
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
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
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
2
2002
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.
2
2007
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
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
2
2006
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
2
2021
Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
1
2015
Computer age statistical inference. Algorithms, evidence, and data science. Student paperback edition. Zbl 1475.62002
Efron, Bradley; Hastie, Trevor
1
2021
Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043
Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor
1
2007
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
1
2018
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
1
2018
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247
Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert
1
2011
Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202
Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J.
5
2022
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
2
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
11
2020
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
7
2020
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
1
2018
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
1
2018
Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223
Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B.
14
2017
Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004
Efron, Bradley; Hastie, Trevor
47
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
26
2016
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
202
2015
Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117
Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza
28
2015
Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251
Janson, Lucas; Fithian, William; Hastie, Trevor J.
6
2015
Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
1
2015
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132
Wager, Stefan; Hastie, Trevor; Efron, Bradley
30
2014
Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096
Fithian, William; Hastie, Trevor
10
2014
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
113
2013
Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225
Fithian, William; Hastie, Trevor
7
2013
The graphical lasso: new insights and alternatives. Zbl 1295.62066
Mazumder, Rahul; Hastie, Trevor
28
2012
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.
28
2012
Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148
Mazumder, Rahul; Hastie, Trevor
13
2012
SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091
Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor
100
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
1
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
83
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
31
2009
Multi-class AdaBoost. Zbl 1245.62080
Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor
20
2009
Presence-only data and the EM algorithm. Zbl 1167.62098
Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R.
14
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
517
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
22
2008
Penalized logistic regression for detecting gene interactions. Zbl 1274.62853
Park, Mee Young; Hastie, Trevor
20
2008
New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044
Zou, Hui; Zhu, Ji; Hastie, Trevor
10
2008
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
316
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
183
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
64
2007
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
22
2007
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
15
2007
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167
Hastie, Trevor
6
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.
2
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
58
2006
Improving random projections using marginal information. Zbl 1143.68547
Li, Ping; Hastie, Trevor J.; Church, Kenneth W.
3
2006
Comment on: “Support vector machines with applications”. Zbl 1246.68180
Hastie, Trevor; Zhu, Ji
2
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
70
2004
Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406
Zhu, Ji; Hastie, Trevor
42
2004
Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290
Rosset, Saharon; Zhu, Ji; Hastie, Trevor
27
2004
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
15
2004
Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132
Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J.
10
2004
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
7
2004
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
42
2003
Reduced-rank vector generalized linear models. Zbl 1195.62123
Yee, Thomas W.; Hastie, Trevor J.
25
2003
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
9
2003
Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038
Cantoni, Eva; Hastie, Trevor
14
2002
Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983
Zhu, Ji; Hastie, Trevor
2
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
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
196
2001
Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036
James, Gareth M.; Hastie, Trevor J.
76
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
270
2000
Principal component models for sparse functional data. Zbl 0962.62056
James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A.
117
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
29
2000
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
71
1998
Metrics and models for handwritten character recognition. Zbl 0966.68186
Hastie, Trevor; Simard, Patrice Y.
9
1998
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
74
1996
Pseudosplines. Zbl 0853.62035
Hastie, Trevor
10
1996
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
116
1995
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
56
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
460
1993
Statistical models in \(S\). Zbl 0776.62007
56
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
202
1989
Principal curves. Zbl 0679.62048
Hastie, Trevor; Stuetzle, Werner
114
1989
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
116
1987
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
28
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
105
1986
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
31
1986
all top 5

Cited by 11,605 Authors

48 Lian, Heng
43 Fan, Jianqing
39 Zhang, Riquan
36 Bühlmann, Peter
35 Tibshirani, Robert John
34 Tutz, Gerhard E.
26 Huang, Jian
26 Liang, Hua
25 Zhu, Lixing
24 Hastie, Trevor John
24 Zou, Hui
23 Liu, Yufeng
23 Zhao, Weihua
22 Konishi, Sadanori
22 Li, Runze
22 Mammen, Enno
21 Weber, Gerhard-Wilhelm
20 Bertsimas, Dimitris John
20 Wang, Qihua
20 Zhou, Yong
20 Zhu, Ji
19 Kneib, Thomas
19 Van de Geer, Sara Anna
18 Gijbels, Irène
18 Lin, Lu
18 Liu, Han
18 Park, Byeong Uk
18 Sugiyama, Masashi
18 You, Jinhong
17 Carrizosa, Emilio
17 Kauermann, Goran
17 Leng, Chenlei
17 Marron, James Stephen
17 Yang, Hu
17 Yuan, Ming
16 Hall, Peter Gavin
16 Härdle, Wolfgang Karl
16 Huang, Zhensheng
16 Li, Gaorong
16 Linton, Oliver Bruce
16 Ma, Shuangge
16 Mazumder, Rahul
16 Shen, Xiaotong
16 Tibshirani, Ryan J.
16 Wand, Matthew P.
16 Wu, Yichao
16 Yang, Lijian
15 Croux, Christophe
15 Eguchi, Shinto
15 Kawano, Shuichi
15 Vieu, Philippe
15 Xue, Liugen
14 Huang, Jianhua Z.
14 James, Gareth M.
14 Li, Lexin
14 Pillonetto, Gianluigi
14 Wasserman, Larry Alan
14 Wood, Simon N.
14 Zhang, Cun-Hui
14 Zhang, Hao Helen
14 Zhang, Wenyang
13 Bondell, Howard D.
13 Dunson, David Brian
13 Hothorn, Torsten
13 Hwang, Heungsun
13 Kim, Yongdai
13 Lipovetsky, Stan
13 Liu, Jicai
13 McNicholas, Paul D.
13 Mei, Changlin
13 Meinshausen, Nicolai
13 Nott, David John
13 Powell, Warren Buckler
13 Taylor, Jonathan E.
13 Wilcox, Rand R.
12 Antoniadis, Anestis
12 Cao, Jiguo
12 Carroll, Raymond James
12 Eilers, Paul H. C.
12 Fan, Yingying
12 Jiao, Yuling
12 Kong, Lingchen
12 Koo, Ja-Yong
12 Lang, Stefan M.
12 Lin, Huazhen
12 Lv, Jing
12 Marra, Giampiero
12 Pan, Wei
12 Sperlich, Stefan
12 Tsybakov, Alexandre B.
12 Witten, Daniela M.
12 Zhou, Xian
11 Ahmed, Syed Ejaz
11 Boyd, Stephen Poythress
11 Ghosal, Subhashis
11 Guo, Chaohui
11 Josse, Julie
11 Kanamori, Takafumi
11 Kel’manov, Aleksandr Vasil’evich
11 Li, Chin-Shang
...and 11,505 more Authors
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Cited in 469 Serials

523 Computational Statistics and Data Analysis
303 The Annals of Statistics
232 Journal of Multivariate Analysis
217 The Annals of Applied Statistics
210 Electronic Journal of Statistics
177 Biometrics
171 Journal of Statistical Computation and Simulation
169 Journal of Applied Statistics
162 Statistics and Computing
158 Machine Learning
154 Journal of the American Statistical Association
151 Journal of Statistical Planning and Inference
151 Computational Statistics
145 Communications in Statistics. Simulation and Computation
126 Communications in Statistics. Theory and Methods
125 Pattern Recognition
99 Journal of Machine Learning Research (JMLR)
93 Statistical Science
89 Journal of Computational and Graphical Statistics
85 Statistics & Probability Letters
84 Journal of Econometrics
83 European Journal of Operational Research
79 Neural Computation
78 Journal of Nonparametric Statistics
71 Advances in Data Analysis and Classification. ADAC
69 Test
68 Annals of the Institute of Statistical Mathematics
64 Statistical Analysis and Data Mining
55 The Canadian Journal of Statistics
55 Statistical Papers
51 Neural Networks
51 Statistical Modelling
51 Journal of the Korean Statistical Society
47 Psychometrika
47 Information Sciences
46 Journal of the Royal Statistical Society. Series B. Statistical Methodology
45 Mathematical Programming. Series A. Series B
44 Journal of Classification
44 Bernoulli
42 Journal of Agricultural, Biological, and Environmental Statistics
40 Scandinavian Journal of Statistics
40 Biometrical Journal
40 SIAM Journal on Optimization
39 Journal of Computational and Applied Mathematics
37 Annals of Operations Research
36 SIAM Journal on Scientific Computing
35 Quantitative Finance
33 Automatica
33 Statistica Sinica
32 Statistical Methods and Applications
30 Computational Optimization and Applications
29 Metrika
29 Statistics
29 Bayesian Analysis
28 Data Mining and Knowledge Discovery
27 Journal of Computational Physics
27 Applied Mathematics and Computation
27 Computational & Mathematical Methods in Medicine
27 Science China. Mathematics
26 Econometric Reviews
26 Lifetime Data Analysis
26 AStA. Advances in Statistical Analysis
24 Statistical Applications in Genetics and Molecular Biology
22 Applied and Computational Harmonic Analysis
22 Mathematical Problems in Engineering
22 Statistical Methodology
22 Journal of Statistical Theory and Practice
21 Acta Mathematicae Applicatae Sinica. English Series
21 Journal of Global Optimization
21 SIAM Journal on Mathematics of Data Science
20 Computer Methods in Applied Mechanics and Engineering
20 Journal of Optimization Theory and Applications
18 Journal of Mathematical Imaging and Vision
18 Australian & New Zealand Journal of Statistics
18 Computational Geosciences
18 Mathematical Geosciences
17 Inverse Problems
17 Journal of the Royal Statistical Society. Series C. Applied Statistics
17 ASTIN Bulletin
16 Applied Mathematical Modelling
16 INFORMS Journal on Computing
15 Insurance Mathematics & Economics
15 International Journal of Computer Vision
15 Econometric Theory
15 Journal of Systems Science and Complexity
15 Journal of Probability and Statistics
14 Journal of Fluid Mechanics
14 Operations Research
14 Journal of Scientific Computing
14 Economics Letters
14 Annals of Mathematics and Artificial Intelligence
14 Optimization Methods & Software
14 Optimization Letters
14 Journal of Theoretical Biology
14 SIAM/ASA Journal on Uncertainty Quantification
13 Biostatistics
13 Statistics Surveys
12 Artificial Intelligence
12 Fuzzy Sets and Systems
12 Soft Computing
...and 369 more Serials
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Cited in 54 Fields

5,750 Statistics (62-XX)
1,326 Numerical analysis (65-XX)
1,250 Computer science (68-XX)
692 Operations research, mathematical programming (90-XX)
432 Biology and other natural sciences (92-XX)
345 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
251 Probability theory and stochastic processes (60-XX)
177 Information and communication theory, circuits (94-XX)
113 Systems theory; control (93-XX)
97 Linear and multilinear algebra; matrix theory (15-XX)
86 Geophysics (86-XX)
83 Calculus of variations and optimal control; optimization (49-XX)
75 Combinatorics (05-XX)
53 Functional analysis (46-XX)
44 Fluid mechanics (76-XX)
42 Operator theory (47-XX)
41 Approximations and expansions (41-XX)
34 Dynamical systems and ergodic theory (37-XX)
32 Harmonic analysis on Euclidean spaces (42-XX)
30 Partial differential equations (35-XX)
27 Statistical mechanics, structure of matter (82-XX)
21 General and overarching topics; collections (00-XX)
19 Quantum theory (81-XX)
17 Mechanics of deformable solids (74-XX)
10 Differential geometry (53-XX)
9 History and biography (01-XX)
9 Ordinary differential equations (34-XX)
9 Optics, electromagnetic theory (78-XX)
9 Astronomy and astrophysics (85-XX)
8 Special functions (33-XX)
8 Convex and discrete geometry (52-XX)
8 Algebraic topology (55-XX)
6 Integral equations (45-XX)
5 Algebraic geometry (14-XX)
5 Real functions (26-XX)
5 Measure and integration (28-XX)
4 Geometry (51-XX)
4 Global analysis, analysis on manifolds (58-XX)
3 Commutative algebra (13-XX)
3 Integral transforms, operational calculus (44-XX)
3 Manifolds and cell complexes (57-XX)
3 Mechanics of particles and systems (70-XX)
3 Relativity and gravitational theory (83-XX)
3 Mathematics education (97-XX)
2 Mathematical logic and foundations (03-XX)
2 Number theory (11-XX)
2 Group theory and generalizations (20-XX)
2 General topology (54-XX)
1 Order, lattices, ordered algebraic structures (06-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)

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