Edit Profile (opens in new tab) Hastie, Trevor John Compute Distance To: Compute Author ID: hastie.trevor-j Published as: Hastie, Trevor; Hastie, Trevor J.; Hastie, T. J. more...less Homepage: https://web.stanford.edu/~hastie/ External Links: MGP · ORCID · Wikidata · dblp · GND · IdRef · theses.fr Documents Indexed: 94 Publications since 1986, including 8 Books 1 Contribution as Editor · 1 Further Contribution Co-Authors: 72 Co-Authors with 93 Joint Publications 1,597 Co-Co-Authors all top 5 Co-Authors 3 single-authored 51 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 Owen, Art B. 3 Park, Mee Young 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 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 Gao, Zijun 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 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 1 Thwaites, Peter Adam ...and 14 more Co-Authors all top 5 Serials 12 The Annals of Statistics 11 Journal of the American Statistical Association 9 Statistical Science 9 Biostatistics 9 Journal of Machine Learning Research (JMLR) 6 Journal of the Royal Statistical Society. Series B. Statistical Methodology 5 The Annals of Applied Statistics 3 Biometrics 3 Biometrika 3 Journal of the Royal Statistical Society. Series B 3 Electronic Journal of Statistics 2 Statistical Modelling 2 Monographs on Statistics and Applied Probability 2 Institute of Mathematical Statistics Monographs 2 Springer Series in Statistics 2 Springer Texts in Statistics 1 The American Statistician 1 Neural Computation 1 Computational Statistics and Data Analysis 1 Statistica Sinica 1 Statistics and Its Interface all top 5 Fields 90 Statistics (62-XX) 27 Computer science (68-XX) 25 Numerical analysis (65-XX) 9 Biology and other natural sciences (92-XX) 5 Operations research, mathematical programming (90-XX) 2 Combinatorics (05-XX) 2 Linear and multilinear algebra; matrix theory (15-XX) 1 General and overarching topics; collections (00-XX) 1 Functional analysis (46-XX) 1 Probability theory and stochastic processes (60-XX) Publications by Year all cited Publications top 5 cited Publications Citations contained in zbMATH Open 85 Publications have been cited 10,269 times in 7,585 Documents Cited by ▼ Year ▼ Regularization and variable selection via the elastic net. Zbl 1069.62054Zou, Hui; Hastie, Trevor 1,159 2005 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,132 2009 Least angle regression. (With discussion). Zbl 1091.62054Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,092 2004 Generalized additive models. Zbl 0747.62061Hastie, T. J.; Tibshirani, R. J. 1,056 1990 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,056 2001 Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 552 2008 Varying-coefficient models (with discussion). Zbl 0796.62060Hastie, Trevor; Tibshirani, Robert 473 1993 Pathwise coordinate optimization. Zbl 1378.90064Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 332 2007 Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 289 2000 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 231 2015 Linear smoothers and additive models. Zbl 0689.62029Buja, Andreas; Hastie, Trevor; Tibshirani, Robert 210 1989 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 203 2001 On the “degrees of freedom” of the lasso. Zbl 1126.62061Zou, Hui; Hastie, Trevor; Tibshirani, Robert 191 2007 Principal component models for sparse functional data. Zbl 0962.62056James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A. 128 2000 An introduction to statistical learning. With applications in R. Zbl 1281.62147James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 124 2013 Local likelihood estimation. Zbl 0626.62041Tibshirani, Robert; Hastie, Trevor 118 1987 Principal curves. Zbl 0679.62048Hastie, Trevor; Stuetzle, Werner 117 1989 Penalized discriminant analysis. Zbl 0821.62031Hastie, Trevor; Buja, Andreas; Tibshirani, Robert 116 1995 Generalized additive models. Zbl 0645.62068Hastie, Trevor; Tibshirani, Robert 109 1986 SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor 104 2011 Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert 93 2010 Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036James, Gareth M.; Hastie, Trevor J. 81 2001 Discriminant analysis by Gaussian mixtures. Zbl 0850.62476Hastie, Trevor; Tibshirani, Robert 76 1996 Classification by pairwise coupling. Zbl 0932.62071Hastie, Trevor; Tibshirani, Robert 74 1998 The entire regularization path for the support vector machine. Zbl 1222.68213Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 73 2004 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 70 2007 Prediction by supervised principal components. Zbl 1118.62326Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 61 2006 Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004Efron, Bradley; Hastie, Trevor 59 2016 Flexible discriminant analysis by optimal scoring. Zbl 0812.62067Hastie, Trevor; Tibshirani, Robert; Buja, Andreas 57 1994 Statistical models in \(S\). Zbl 0776.62007 56 1992 Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406Zhu, Ji; Hastie, Trevor 44 2004 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 43 2003 Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132Wager, Stefan; Hastie, Trevor; Efron, Bradley 37 2014 A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor 35 2009 Generalized additive models. With discussion. Zbl 0955.62603Hastie, Trevor; Tibshirani, Robert 34 1986 Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J. 33 2012 Generalized additive models: some applications. Zbl 0633.62067Hastie, Trevor; Tibshirani, Robert 33 1987 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524Hastie, Trevor; Tibshirani, Robert 30 2000 Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza 30 2015 Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290Rosset, Saharon; Zhu, Ji; Hastie, Trevor 29 2004 The graphical lasso: new insights and alternatives. Zbl 1295.62066Mazumder, Rahul; Hastie, Trevor 29 2012 Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai 28 2016 Reduced-rank vector generalized linear models. Zbl 1195.62123Yee, Thomas W.; Hastie, Trevor J. 27 2003 Multi-class AdaBoost. Zbl 1245.62080Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor 24 2009 Averaged gene expressions for regression. Zbl 1144.62357Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 23 2007 Penalized logistic regression for detecting gene interactions. Zbl 1274.62853Park, Mee Young; Hastie, Trevor 22 2008 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 22 2008 Forward stagewise regression and the monotone lasso. Zbl 1306.62176Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther 16 2007 Efficient quadratic regularization for expression arrays. Zbl 1154.62393Hastie, Trevor; Tibshirani, Robert 16 2004 Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan 16 2020 Presence-only data and the EM algorithm. Zbl 1167.62098Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R. 15 2009 Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B. 15 2017 The geometric interpretation of correspondence analysis. Zbl 0622.62006Greenacre, Michael; Hastie, Trevor 15 1987 Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038Cantoni, Eva; Hastie, Trevor 14 2002 Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148Mazumder, Rahul; Hastie, Trevor 14 2012 Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096Fithian, William; Hastie, Trevor 12 2014 New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044Zou, Hui; Zhu, Ji; Hastie, Trevor 11 2008 Pseudosplines. Zbl 0853.62035Hastie, Trevor 10 1996 Metrics and models for handwritten character recognition. Zbl 0966.68186Hastie, Trevor; Simard, Patrice Y. 10 1998 Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J. 10 2004 Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J. 9 2020 Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome 9 2003 A closer look at the deviance. Zbl 0607.62084Hastie, Trevor 9 1987 Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J. 9 2022 Outlier sums for differential gene expression analysis. Zbl 1121.62102Tibshirani, Robert; Hastie, Trevor 8 2007 Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225Fithian, William; Hastie, Trevor 8 2013 Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167Hastie, Trevor 7 2007 Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251Janson, Lucas; Fithian, William; Hastie, Trevor J. 7 2015 Discussion on boosting papers. Zbl 1105.62314Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Margin trees for high-dimensional classification. Zbl 1222.68319Tibshirani, Robert; Hastie, Trevor 5 2007 Improving random projections using marginal information. Zbl 1143.68547Li, Ping; Hastie, Trevor J.; Church, Kenneth W. 4 2006 Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert 3 2009 \(L_1\)-regularization path algorithm for generalized linear models. Zbl 07555370Park, Mee Young; Hastie, Trevor 3 2007 Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160Li, Ping; Hastie, Trevor J.; Church, Kenneth W. 2 2007 Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David 2 2002 An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 2 2021 Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983Zhu, Ji; Hastie, Trevor 2 2002 Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2015 Comment on: “Support vector machines with applications”. Zbl 1246.68180Hastie, Trevor; Zhu, Ji 2 2006 A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert 2 2011 Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2018 Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor 1 2007 Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448Hastie, T. J.; Tibshirani, R. J. 1 1994 Computer age statistical inference. Algorithms, evidence, and data science. Student paperback edition. Zbl 1475.62002Efron, Bradley; Hastie, Trevor 1 2021 Saturating splines and feature selection. Zbl 1473.62248Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I. 1 2018 Surprises in high-dimensional ridgeless least squares interpolation. Zbl 1486.62202Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J. 9 2022 An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 2 2021 Computer age statistical inference. Algorithms, evidence, and data science. Student paperback edition. Zbl 1475.62002Efron, Bradley; Hastie, Trevor 1 2021 Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan 16 2020 Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J. 9 2020 Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2018 Saturating splines and feature selection. Zbl 1473.62248Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I. 1 2018 Confounder adjustment in multiple hypothesis testing. Zbl 1486.62223Wang, Jingshu; Zhao, Qingyuan; Hastie, Trevor; Owen, Art B. 15 2017 Computer age statistical inference. Algorithms, evidence, and data science. Zbl 1377.62004Efron, Bradley; Hastie, Trevor 59 2016 Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai 28 2016 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 231 2015 Matrix completion and low-rank SVD via fast alternating least squares. Zbl 1352.65117Hastie, Trevor; Mazumder, Rahul; Lee, Jason D.; Zadeh, Reza 30 2015 Effective degrees of freedom: a flawed metaphor. Zbl 1452.62251Janson, Lucas; Fithian, William; Hastie, Trevor J. 7 2015 Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2015 Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. Zbl 1319.62132Wager, Stefan; Hastie, Trevor; Efron, Bradley 37 2014 Local case-control sampling: efficient subsampling in imbalanced data sets. Zbl 1305.62096Fithian, William; Hastie, Trevor 12 2014 An introduction to statistical learning. With applications in R. Zbl 1281.62147James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 124 2013 Finite-sample equivalence in statistical models for presence-only data. Zbl 1283.62225Fithian, William; Hastie, Trevor 8 2013 Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J. 33 2012 The graphical lasso: new insights and alternatives. Zbl 1295.62066Mazumder, Rahul; Hastie, Trevor 29 2012 Exact covariance thresholding into connected components for large-scale graphical lasso. Zbl 1283.62148Mazumder, Rahul; Hastie, Trevor 14 2012 SparseNet: coordinate descent with nonconvex penalties. Zbl 1229.62091Mazumder, Rahul; Friedman, Jerome H.; Hastie, Trevor 104 2011 A fused lasso latent feature model for analyzing multi-sample aCGH data. Zbl 1314.62247Nowak, Gen; Hastie, Trevor; Pollack, Jonathan R.; Tibshirani, Robert 2 2011 Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert 93 2010 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,132 2009 A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor 35 2009 Multi-class AdaBoost. Zbl 1245.62080Zhu, Ji; Zou, Hui; Rosset, Saharon; Hastie, Trevor 24 2009 Presence-only data and the EM algorithm. Zbl 1167.62098Ward, Gill; Hastie, Trevor; Barry, Simon; Elith, Jane; Leathwick, John R. 15 2009 Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert 3 2009 Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 552 2008 Penalized logistic regression for detecting gene interactions. Zbl 1274.62853Park, Mee Young; Hastie, Trevor 22 2008 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 22 2008 New multicategory boosting algorithms based on multicategory Fisher-consistent losses. Zbl 1158.62044Zou, Hui; Zhu, Ji; Hastie, Trevor 11 2008 Pathwise coordinate optimization. Zbl 1378.90064Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 332 2007 On the “degrees of freedom” of the lasso. Zbl 1126.62061Zou, Hui; Hastie, Trevor; Tibshirani, Robert 191 2007 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 70 2007 Averaged gene expressions for regression. Zbl 1144.62357Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 23 2007 Forward stagewise regression and the monotone lasso. Zbl 1306.62176Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther 16 2007 Outlier sums for differential gene expression analysis. Zbl 1121.62102Tibshirani, Robert; Hastie, Trevor 8 2007 Comment: Boosting algorithms: regularization, prediction and model fitting. Zbl 1246.62167Hastie, Trevor 7 2007 Margin trees for high-dimensional classification. Zbl 1222.68319Tibshirani, Robert; Hastie, Trevor 5 2007 \(L_1\)-regularization path algorithm for generalized linear models. Zbl 07555370Park, Mee Young; Hastie, Trevor 3 2007 Nonlinear estimators and tail bounds for dimension reduction in \(l _{1}\) using Cauchy random projections. Zbl 1203.68160Li, Ping; Hastie, Trevor J.; Church, Kenneth W. 2 2007 Automatic bias correction methods in semi-supervised learning. Zbl 1134.62043Zou, Hui; Zhu, Ji; Rosset, Saharon; Hastie, Trevor 1 2007 Prediction by supervised principal components. Zbl 1118.62326Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 61 2006 Improving random projections using marginal information. Zbl 1143.68547Li, Ping; Hastie, Trevor J.; Church, Kenneth W. 4 2006 Comment on: “Support vector machines with applications”. Zbl 1246.68180Hastie, Trevor; Zhu, Ji 2 2006 Regularization and variable selection via the elastic net. Zbl 1069.62054Zou, Hui; Hastie, Trevor 1,159 2005 Least angle regression. (With discussion). Zbl 1091.62054Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,092 2004 The entire regularization path for the support vector machine. Zbl 1222.68213Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 73 2004 Classification of gene microarrays by penalized logistic regression. Zbl 1154.62406Zhu, Ji; Hastie, Trevor 44 2004 Boosting as a regularized path to a maximum margin classifier. Zbl 1222.68290Rosset, Saharon; Zhu, Ji; Hastie, Trevor 29 2004 Efficient quadratic regularization for expression arrays. Zbl 1154.62393Hastie, Trevor; Tibshirani, Robert 16 2004 Improved semiparametric time series models of air pollution and mortality. Zbl 1055.62132Dominici, Francesca; McDermott, Aidan; Hastie, Trevor J. 10 2004 Discussion on boosting papers. Zbl 1105.62314Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 43 2003 Reduced-rank vector generalized linear models. Zbl 1195.62123Yee, Thomas W.; Hastie, Trevor J. 27 2003 Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome 9 2003 Degrees-of-freedom tests for smoothing splines. Zbl 1019.62038Cantoni, Eva; Hastie, Trevor 14 2002 Exploratory screening of genes and clusters from microarray experiments. Zbl 1004.62085Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Eisen, Michael; Sherlock, Gavin; Brown, Pat; Botstein, David 2 2002 Support vector machines, kernel logistic regression and boosting. Zbl 1047.68983Zhu, Ji; Hastie, Trevor 2 2002 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,056 2001 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 203 2001 Functional linear discriminant analysis for irregularly sampled curves. Zbl 0989.62036James, Gareth M.; Hastie, Trevor J. 81 2001 Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 289 2000 Principal component models for sparse functional data. Zbl 0962.62056James, Gareth M.; Hastie, Trevor J.; Sugar, Catherine A. 128 2000 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524Hastie, Trevor; Tibshirani, Robert 30 2000 Classification by pairwise coupling. Zbl 0932.62071Hastie, Trevor; Tibshirani, Robert 74 1998 Metrics and models for handwritten character recognition. Zbl 0966.68186Hastie, Trevor; Simard, Patrice Y. 10 1998 Discriminant analysis by Gaussian mixtures. Zbl 0850.62476Hastie, Trevor; Tibshirani, Robert 76 1996 Pseudosplines. Zbl 0853.62035Hastie, Trevor 10 1996 Penalized discriminant analysis. Zbl 0821.62031Hastie, Trevor; Buja, Andreas; Tibshirani, Robert 116 1995 Flexible discriminant analysis by optimal scoring. Zbl 0812.62067Hastie, Trevor; Tibshirani, Robert; Buja, Andreas 57 1994 Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448Hastie, T. J.; Tibshirani, R. J. 1 1994 Varying-coefficient models (with discussion). Zbl 0796.62060Hastie, Trevor; Tibshirani, Robert 473 1993 Statistical models in \(S\). Zbl 0776.62007 56 1992 Generalized additive models. Zbl 0747.62061Hastie, T. J.; Tibshirani, R. J. 1,056 1990 Linear smoothers and additive models. Zbl 0689.62029Buja, Andreas; Hastie, Trevor; Tibshirani, Robert 210 1989 Principal curves. Zbl 0679.62048Hastie, Trevor; Stuetzle, Werner 117 1989 Local likelihood estimation. Zbl 0626.62041Tibshirani, Robert; Hastie, Trevor 118 1987 Generalized additive models: some applications. Zbl 0633.62067Hastie, Trevor; Tibshirani, Robert 33 1987 The geometric interpretation of correspondence analysis. Zbl 0622.62006Greenacre, Michael; Hastie, Trevor 15 1987 A closer look at the deviance. Zbl 0607.62084Hastie, Trevor 9 1987 Generalized additive models. Zbl 0645.62068Hastie, Trevor; Tibshirani, Robert 109 1986 Generalized additive models. With discussion. Zbl 0955.62603Hastie, Trevor; Tibshirani, Robert 34 1986 all cited Publications top 5 cited Publications all top 5 Cited by 12,300 Authors 48 Lian, Heng 43 Fan, Jianqing 39 Zhang, Riquan 36 Bühlmann, Peter 36 Tibshirani, Robert John 34 Tutz, Gerhard E. 27 Liang, Hua 26 Huang, Jian 25 Hastie, Trevor John 25 Liu, Yufeng 25 Zhu, Lixing 24 Zou, Hui 23 Li, Runze 23 Mammen, Enno 23 Zhao, Weihua 22 Konishi, Sadanori 22 Zhou, Yong 21 Bertsimas, Dimitris John 21 Weber, Gerhard-Wilhelm 20 Wang, Qihua 20 Zhu, Ji 19 Kneib, Thomas 19 Van de Geer, Sara Anna 19 You, Jinhong 18 Gijbels, Irène 18 Lin, Lu 18 Liu, Han 18 Mazumder, Rahul 18 Park, Byeong Uk 18 Sugiyama, Masashi 17 Carrizosa, Emilio 17 Kel’manov, Aleksandr Vasil’evich 17 Leng, Chenlei 17 Li, Gaorong 17 Marron, James Stephen 17 Tibshirani, Ryan J. 17 Yang, Hu 17 Yuan, Ming 16 Hall, Peter Gavin 16 Härdle, Wolfgang Karl 16 Huang, Zhensheng 16 Kauermann, Goran 16 Linton, Oliver Bruce 16 Ma, Shuangge 16 Shen, Xiaotong 16 Wand, Matthew P. 16 Wu, Yichao 16 Yang, Lijian 15 Croux, Christophe 15 Eguchi, Shinto 15 Huang, Jianhua Z. 15 Kawano, Shuichi 15 Vieu, Philippe 15 Xue, Liugen 15 Zhang, Jun 14 Cao, Jiguo 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 Koo, Ja-Yong 13 Lipovetsky, Stan 13 Liu, Jicai 13 Lv, Jing 13 McNicholas, Paul D. 13 Mei, Changlin 13 Meinshausen, Nicolai 13 Nott, David John 13 Powell, Warren Buckler 13 Shojaie, Ali 13 Taylor, Jonathan E. 13 Wilcox, Rand R. 13 Zheng, Zemin 12 Ahmed, Syed Ejaz 12 Antoniadis, Anestis 12 Carroll, Raymond James 12 Eilers, Paul H. C. 12 Fan, Yingying 12 Ghosal, Subhashis 12 Jiao, Yuling 12 Kong, Lingchen 12 Lang, Stefan M. 12 Lin, Huazhen 12 Marra, Giampiero 12 Pan, Wei 12 Sperlich, Stefan 12 Tsybakov, Alexandre B. 12 Witten, Daniela M. 12 Zhou, Xian 11 Alhamzawi, Rahim 11 Boyd, Stephen Poythress ...and 12,200 more Authors all top 5 Cited in 492 Serials 534 Computational Statistics and Data Analysis 304 The Annals of Statistics 240 Journal of Multivariate Analysis 229 The Annals of Applied Statistics 211 Electronic Journal of Statistics 177 Biometrics 176 Journal of Statistical Computation and Simulation 173 Journal of Applied Statistics 172 Journal of the American Statistical Association 172 Statistics and Computing 159 Machine Learning 155 Communications in Statistics. Simulation and Computation 154 Journal of Statistical Planning and Inference 154 Computational Statistics 132 Communications in Statistics. 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Applied Statistics 16 Operations Research 16 Econometric Theory 16 Journal of Probability and Statistics 16 SIAM/ASA Journal on Uncertainty Quantification 16 Japanese Journal of Statistics and Data Science 15 Artificial Intelligence 15 Journal of Scientific Computing 15 International Journal of Computer Vision 15 Journal of Systems Science and Complexity 14 Journal of Fluid Mechanics 14 Economics Letters 14 Annals of Mathematics and Artificial Intelligence 14 Optimization Letters 14 Statistics Surveys 14 Journal of Theoretical Biology 13 Biostatistics ...and 392 more Serials all top 5 Cited in 54 Fields 6,074 Statistics (62-XX) 1,326 Computer science (68-XX) 1,242 Numerical analysis (65-XX) 738 Operations research, mathematical programming (90-XX) 444 Biology and other natural sciences (92-XX) 374 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 267 Probability theory and stochastic processes (60-XX) 190 Information and communication theory, circuits (94-XX) 114 Systems theory; control (93-XX) 102 Linear and multilinear algebra; matrix theory (15-XX) 90 Geophysics (86-XX) 87 Calculus of variations and optimal control; optimization (49-XX) 78 Combinatorics (05-XX) 58 Functional analysis (46-XX) 48 Fluid mechanics (76-XX) 43 Approximations and expansions (41-XX) 43 Operator theory (47-XX) 35 Dynamical systems and ergodic theory (37-XX) 34 Partial differential equations (35-XX) 33 Harmonic analysis on Euclidean spaces (42-XX) 28 Statistical mechanics, structure of matter (82-XX) 23 Quantum theory (81-XX) 21 General and overarching topics; collections (00-XX) 19 Mechanics of deformable solids (74-XX) 10 Ordinary differential equations (34-XX) 10 Differential geometry (53-XX) 9 History and biography (01-XX) 9 Algebraic topology (55-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) 7 Algebraic geometry (14-XX) 6 Measure and integration (28-XX) 6 Integral equations (45-XX) 5 Real functions (26-XX) 4 Number theory (11-XX) 4 Geometry (51-XX) 4 Global analysis, analysis on manifolds (58-XX) 4 Mechanics of particles and systems (70-XX) 4 Mathematics education (97-XX) 3 Mathematical logic and foundations (03-XX) 3 Order, lattices, ordered algebraic structures (06-XX) 3 Commutative algebra (13-XX) 3 Integral transforms, operational calculus (44-XX) 3 Manifolds and cell complexes (57-XX) 3 Relativity and gravitational theory (83-XX) 2 Group theory and generalizations (20-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) Citations by Year Wikidata Timeline The data are displayed as stored in Wikidata under a Creative Commons CC0 License. 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