Edit Profile (opens in new tab) Tibshirani, Robert John Compute Distance To: Compute Author ID: tibshirani.robert-j Published as: Tibshirani, Robert; Tibshirani, Robert J.; Tibshirani, Rob; Tibshirani, R. J.; Tibshirani, R. more...less Homepage: https://tibshirani.su.domains/ External Links: MGP · Wikidata · Google Scholar · dblp · GND · IdRef Documents Indexed: 133 Publications since 1986, including 7 Books 1 Contribution as Editor · 2 Further Contributions Co-Authors: 87 Co-Authors with 130 Joint Publications 1,561 Co-Co-Authors all top 5 Co-Authors 6 single-authored 51 Hastie, Trevor John 14 Taylor, Jonathan E. 12 Efron, Bradley 12 Friedman, Jerome Harold 11 Witten, Daniela M. 8 Tibshirani, Ryan J. 6 Bien, Jacob 4 Narasimhan, Balasubramanian 4 Reid, Stephen 4 Simon, Noah Robin 3 Buja, Andreas 3 Chu, Gilbert 3 Guan, Leying 3 Höfling, Holger 3 Lockhart, Richard A. 3 Rosset, Saharon 3 Wasserman, Larry Alan 3 Zhu, Ji 2 Alizadeh, Ash A. 2 Allen, Genevera I. 2 Bair, Eric 2 Grazier G’sell, Max 2 James, Gareth M. 2 Johnstone, Iain Murray 2 Knight, Keith 2 LeBlanc, Michael L. 2 Morris, Carl N. 2 Nowak, Gen 2 Paul, Debashis 2 Pollack, Jonathan R. 2 Powers, Scott 2 Storey, John D. 2 Tian, Lu 2 Tusher, Virginia Goss 2 Wager, Stefan 2 Walther, Günther 2 Wang, Pei 1 Abraham, Louis 1 Bareinboim, Elias 1 Bates, Stephen 1 Berhane, Kiros 1 Bhattacharya, Debopam 1 Botstein, David 1 Bronskill, Michael J. 1 Brown, Pat 1 Bühlmann, Peter 1 Celeux, Gilles 1 Chen, Shizhe 1 Chipman, Hugh A. 1 Choi, Yunjin 1 Chouldechova, Alexandra 1 Crudu, Federico 1 Davis, Ronald W. 1 Davison, Andrew J. 1 Dawid, Philip 1 DiCiccio, Thomas J. 1 Didelez, Vanessa 1 Diehn, Maximilian 1 Ding, Peng 1 Du, Wenfei 1 Eisen, Michael B. 1 Fan, Zhou 1 Feller, Avi 1 Fine, Jason Peter 1 Foster, Adam 1 Gentles, Andrew J. 1 Graham, Simon J. 1 Gross, Samuel M. 1 Guo, Yaqian 1 Hansen, Niels Richard 1 Holmes, Susan P. 1 Hudgens, Michael G. 1 Hussami, Nadine 1 Josse, Julie 1 Kapp, Amy V. 1 Kasza, Jessica 1 Klopp, Olga 1 Kumar, Kuldeep 1 Lauritzen, Steffen Lilholt 1 Lee, Kuang-Yao 1 Lemhadri, Ismael 1 Li, Ruilin 1 Linton, Oliver Bruce 1 Liu, Tianqi 1 López, Freddy Omar 1 Lu, Arthur Yu 1 Lu, Zudi 1 Martin-Magniette, Marie-Laure 1 Mateu, Jorge 1 Maugis, Cathy 1 Mazumder, Rahul 1 McCullagh, Peter 1 Meinshausen, Nicolai 1 Mojirsheibani, Majid 1 Mooij, Joris M. 1 Moulines, Eric 1 Mukherjee, Sach 1 Newman, Aaron M. 1 Oates, Chris J. 1 Pan, Wenliang ...and 34 more Co-Authors all top 5 Serials 18 Journal of the American Statistical Association 16 The Annals of Statistics 15 Biostatistics 11 The Canadian Journal of Statistics 11 Journal of the Royal Statistical Society. Series B. Statistical Methodology 11 The Annals of Applied Statistics 9 Statistical Science 5 Journal of Machine Learning Research (JMLR) 4 Journal of the Royal Statistical Society. Series B 4 Proceedings of the National Academy of Sciences of the United States of America 4 Statistica Sinica 4 Statistical Applications in Genetics and Molecular Biology 3 Biometrika 3 Monographs on Statistics and Applied Probability 3 Springer Series in Statistics 2 Computational Statistics and Data Analysis 2 Springer Texts in Statistics 1 Biometrics 1 Neural Computation 1 Computational Statistics 1 Journal of the Royal Statistical Society. Series C. Applied Statistics 1 Journal of Applied Statistics 1 Statistical Modelling 1 Electronic Journal of Statistics 1 Journal of Computational and Graphical Statistics all top 5 Fields 132 Statistics (62-XX) 24 Numerical analysis (65-XX) 19 Biology and other natural sciences (92-XX) 17 Computer science (68-XX) 8 Operations research, mathematical programming (90-XX) 2 History and biography (01-XX) 2 Combinatorics (05-XX) 1 Linear and multilinear algebra; matrix theory (15-XX) 1 Probability theory and stochastic processes (60-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Publications by Year all cited Publications top 5 cited Publications Citations contained in zbMATH Open 121 Publications have been cited 15,708 times in 11,129 Documents Cited by ▼ Year ▼ Regression shrinkage and selection via the lasso. Zbl 0850.62538Tibshirani, Robert 3,729 1996 An introduction to the bootstrap. Zbl 0835.62038Efron, Bradley; Tibshirani, Robert J. 1,400 1993 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,126 2009 Least angle regression. (With discussion). Zbl 1091.62054Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,087 2004 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,055 2001 Generalized additive models. Zbl 0747.62061Hastie, T. J.; Tibshirani, R. J. 1,052 1990 Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 543 2008 Varying-coefficient models (with discussion). Zbl 0796.62060Hastie, Trevor; Tibshirani, Robert 472 1993 Sparsity and smoothness via the fused lasso. Zbl 1060.62049Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith 407 2005 Pathwise coordinate optimization. Zbl 1378.90064Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 330 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 286 2000 Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia 238 2001 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 223 2015 Linear smoothers and additive models. Zbl 0689.62029Buja, Andreas; Hastie, Trevor; Tibshirani, Robert 209 1989 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 202 2001 On the “degrees of freedom” of the lasso. Zbl 1126.62061Zou, Hui; Hastie, Trevor; Tibshirani, Robert 189 2007 Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert 165 2001 Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Zbl 0587.62082Efron, B.; Tibshirani, R. 163 1986 Statistical significance for genomewide studies. Zbl 1130.62385Storey, John D.; Tibshirani, Robert 145 2003 An introduction to statistical learning. With applications in R. Zbl 1281.62147James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 125 2013 Local likelihood estimation. Zbl 0626.62041Tibshirani, Robert; Hastie, Trevor 118 1987 Penalized discriminant analysis. Zbl 0821.62031Hastie, Trevor; Buja, Andreas; Tibshirani, Robert 116 1995 Generalized additive models. Zbl 0645.62068Hastie, Trevor; Tibshirani, Robert 109 1986 A significance test for the lasso. Zbl 1305.62254Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 95 2014 Noninformative priors for one parameter of many. Zbl 0678.62010Tibshirani, Robert 91 1989 Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert 89 2010 Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212Tibshirani, Robert 89 2011 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 Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044Efron, Bradley; Tibshirani, Robert 73 1997 The entire regularization path for the support vector machine. Zbl 1222.68213Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 73 2004 Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079Witten, Daniela M.; Tibshirani, Robert 68 2011 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 68 2007 A framework for feature selection in clustering. Zbl 1392.62194Witten, Daniela M.; Tibshirani, Robert 61 2010 Prediction by supervised principal components. Zbl 1118.62326Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 60 2006 A simple method for the adjustment of profile likelihoods. Zbl 0716.62039McCullagh, Peter; Tibshirani, Robert 58 1990 Sparse estimation of a covariance matrix. Zbl 1228.62063Bien, Jacob; Tibshirani, Robert J. 58 2011 Flexible discriminant analysis by optimal scoring. Zbl 0812.62067Hastie, Trevor; Tibshirani, Robert; Buja, Andreas 57 1994 A lasso for hierarchical interactions. Zbl 1292.62109Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert 55 2013 Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886Tibshirani, Robert; Wang, Pei 54 2008 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 43 2003 On testing the significance of sets of genes. Zbl 1129.62102Efron, Bradley; Tibshirani, Robert 42 2007 Using specially designed exponential families for density estimation. Zbl 0878.62028Efron, Bradley; Tibshirani, Robert 38 1996 A simple method for estimating interactions between a treatment and a large number of covariates. Zbl 1368.62294Tian, Lu; Alizadeh, Ash A.; Gentles, Andrew J.; Tibshirani, Robert 37 2014 Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033Witten, Daniela M.; Tibshirani, Robert 36 2009 Generalized additive models. With discussion. Zbl 0955.62603Hastie, Trevor; Tibshirani, Robert 34 1986 A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor 33 2009 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 problem of regions. Zbl 0954.62031Efron, Bradley; Tibshirani, Robert 32 1998 Generalized additive models: some applications. Zbl 0633.62067Hastie, Trevor; Tibshirani, Robert 32 1987 Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. With a comment by J. A. Hartigan and a rejoinder by the authors. Zbl 0955.62560Efron, B.; Tibshirani, R. 32 1986 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524Hastie, Trevor; Tibshirani, Robert 30 2000 Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079Allen, Genevera I.; Tibshirani, Robert 29 2010 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 Combining estimates in regression and classification. Zbl 0881.62046LeBlanc, Michael; Tibshirani, Robert 28 1996 The covariance inflation criterion for adaptive model selection. Zbl 0924.62031Tibshirani, Robert; Knight, Keith 24 1999 Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121Höfling, Holger; Tibshirani, Robert 23 2009 Standardization and the group lasso penalty. Zbl 1257.62080Simon, Noah; Tibshirani, Robert 23 2012 A study of error variance estimation in Lasso regression. Zbl 1372.62023Reid, Stephen; Tibshirani, Robert; Friedman, Jerome 23 2016 Statistical learning and selective inference. Zbl 1359.62228Taylor, Jonathan; Tibshirani, Robert J. 23 2015 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 22 2008 Averaged gene expressions for regression. Zbl 1144.62357Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 22 2007 Sequential selection procedures and false discovery rate control. Zbl 1414.62341Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert 20 2016 Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry 18 2018 Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096Tibshirani, Robert J. 18 2009 Adaptive principal surfaces. Zbl 0795.62057LeBlanc, Michael; Tibshirani, Robert 17 1994 Selecting the number of principal components: estimation of the true rank of a noisy matrix. Zbl 1394.62073Choi, Yunjin; Taylor, Jonathan; Tibshirani, Robert 17 2017 Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099Witten, Daniela M.; Tibshirani, Robert J. 17 2009 Variance stabilization and the bootstrap. Zbl 0651.62039Tibshirani, Robert 16 1988 Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan 16 2020 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 Rejoinder: “A significance test for the lasso”. Zbl 1305.62255Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 15 2014 Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368Chipman, Hugh; Tibshirani, Robert 11 2006 A method for calling gains and losses in array CGH data. Zbl 1069.92014Wang, Pei; Kim, Young; Pollack, Jonathan; Narasimhan, Balasubramanian; Tibshirani, Robert 11 2005 Bootstrap confidence intervals and bootstrap approximations. Zbl 0622.62040DiCiccio, Thomas; Tibshirani, Robert 10 1987 A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311Tibshirani, Ryan J.; Tibshirani, Robert 10 2009 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 Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083Bien, Jacob; Tibshirani, Robert 8 2011 Outlier sums for differential gene expression analysis. Zbl 1121.62102Tibshirani, Robert; Hastie, Trevor 8 2007 Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372Taylor, Jonathan; Tibshirani, Robert 8 2018 Generalized additive models for longitudinal data. Zbl 1030.62522Berhane, Kiros; Tibshirani, Robert J. 8 1998 Discussion on boosting papers. Zbl 1105.62314Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220Allen, Genevera I.; Tibshirani, Robert 7 2012 Prototype selection for interpretable classification. Zbl 1234.62096Bien, Jacob; Tibshirani, Robert 6 2011 Testing significance of features by lassoed principal components. Zbl 1149.62092Witten, Daniela M.; Tibshirani, Robert 6 2008 Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158Witten, Daniela M.; Tibshirani, Robert 5 2011 Margin trees for high-dimensional classification. Zbl 1222.68319Tibshirani, Robert; Hastie, Trevor 5 2007 Sensitive parameters. Zbl 0659.62054Tibshirani, Robert; Wasserman, Larry A. 4 1988 High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J. 4 2016 A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278Simon, Noah; Tibshirani, Robert 4 2015 Some results on bootstrap prediction intervals. Zbl 0879.62039Mojirsheibani, Majid; Tibshirani, Robert 3 1996 Are clusters found in one dataset present in another dataset? Zbl 1170.62390Kapp, Amy V.; Tibshirani, Robert 3 2007 Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert 3 2017 Pre-validation and inference in microarrays. Zbl 1037.62116Tibshirani, Robert J.; Efron, Brad 3 2002 The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley 3 2005 Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert 3 2009 A study of pre-validation. Zbl 1273.62126Höfling, Holger; Tibshirani, Robert 3 2008 A tail strength measure for assessing the overall univariate significance in a dataset. Zbl 1169.62391Taylor, Jonathan; Tibshirani, Robert 2 2006 An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 2 2021 Principal component-guided sparse regression. Zbl 1492.62116Tay, Jingyi K.; Friedman, Jerome; Tibshirani, Robert 2 2021 LassoNet: a neural network with feature sparsity. Zbl 07370644Lemhadri, Ismael; Ruan, Feng; Abraham, Louis; Tibshirani, Robert 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 Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert 2 2020 A pliable Lasso. Zbl 07499284Tibshirani, Robert; Friedman, Jerome 1 2020 Log-ratio Lasso: scalable, sparse estimation for log-ratio models. Zbl 1436.62510Bates, Stephen; Tibshirani, Robert 2 2019 Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry 18 2018 Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372Taylor, Jonathan; Tibshirani, Robert 8 2018 Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515Powers, Scott; Hastie, Trevor; Tibshirani, Robert 1 2018 Selecting the number of principal components: estimation of the true rank of a noisy matrix. Zbl 1394.62073Choi, Yunjin; Taylor, Jonathan; Tibshirani, Robert 17 2017 Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert 3 2017 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 A study of error variance estimation in Lasso regression. Zbl 1372.62023Reid, Stephen; Tibshirani, Robert; Friedman, Jerome 23 2016 Sequential selection procedures and false discovery rate control. Zbl 1414.62341Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert 20 2016 High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J. 4 2016 Data shared Lasso: a novel tool to discover uplift. Zbl 1466.62082Gross, Samuel M.; Tibshirani, Robert 2 2016 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 223 2015 Statistical learning and selective inference. Zbl 1359.62228Taylor, Jonathan; Tibshirani, Robert J. 23 2015 A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278Simon, Noah; Tibshirani, Robert 4 2015 Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2015 Convex hierarchical testing of interactions. Zbl 1454.62311Bien, Jacob; Simon, Noah; Tibshirani, Robert 2 2015 A component Lasso. Zbl 1329.62326Hussami, Nadine; Tibshirani, Robert J. 1 2015 A significance test for the lasso. Zbl 1305.62254Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 95 2014 A simple method for estimating interactions between a treatment and a large number of covariates. Zbl 1368.62294Tian, Lu; Alizadeh, Ash A.; Gentles, Andrew J.; Tibshirani, Robert 37 2014 Rejoinder: “A significance test for the lasso”. Zbl 1305.62255Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 15 2014 Correction: Rejoinder to “A significance test for the lasso”. Zbl 1305.62243Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 1 2014 Sensitivity analysis for inference with partially identifiable covariance matrices. Zbl 1306.65059Grazier G’sell, Max; Shen-Orr, Shai S.; Tibshirani, Robert 1 2014 An introduction to statistical learning. With applications in R. Zbl 1281.62147James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 125 2013 A lasso for hierarchical interactions. Zbl 1292.62109Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert 55 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 Standardization and the group lasso penalty. Zbl 1257.62080Simon, Noah; Tibshirani, Robert 23 2012 Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220Allen, Genevera I.; Tibshirani, Robert 7 2012 Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212Tibshirani, Robert 89 2011 Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079Witten, Daniela M.; Tibshirani, Robert 68 2011 Sparse estimation of a covariance matrix. Zbl 1228.62063Bien, Jacob; Tibshirani, Robert J. 58 2011 Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083Bien, Jacob; Tibshirani, Robert 8 2011 Prototype selection for interpretable classification. Zbl 1234.62096Bien, Jacob; Tibshirani, Robert 6 2011 Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158Witten, Daniela M.; Tibshirani, Robert 5 2011 Adaptive index models for marker-based risk stratification. Zbl 1437.62632Tian, Lu; Tibshirani, Robert 2 2011 Comment on “A framework for feature selection in clustering”. Zbl 1430.62126Celeux, Gilles; Martin-Magniette, Marie-Laure; Maugis, Cathy; Raftery, Adrian E. 2 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 89 2010 A framework for feature selection in clustering. Zbl 1392.62194Witten, Daniela M.; Tibshirani, Robert 61 2010 Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079Allen, Genevera I.; Tibshirani, Robert 29 2010 Predicting patient survival from longitudinal gene expression. Zbl 1304.92103Zhang, Yuping; Tibshirani, Robert J.; Davis, Ronald W. 1 2010 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,126 2009 Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033Witten, Daniela M.; Tibshirani, Robert 36 2009 A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor 33 2009 Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121Höfling, Holger; Tibshirani, Robert 23 2009 Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096Tibshirani, Robert J. 18 2009 Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099Witten, Daniela M.; Tibshirani, Robert J. 17 2009 A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311Tibshirani, Ryan J.; Tibshirani, Robert 10 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 543 2008 Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886Tibshirani, Robert; Wang, Pei 54 2008 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 22 2008 Testing significance of features by lassoed principal components. Zbl 1149.62092Witten, Daniela M.; Tibshirani, Robert 6 2008 A study of pre-validation. Zbl 1273.62126Höfling, Holger; Tibshirani, Robert 3 2008 Complementary hierarchical clustering. Zbl 1143.62085Nowak, Gen; Tibshirani, Robert 2 2008 Pathwise coordinate optimization. Zbl 1378.90064Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 330 2007 On the “degrees of freedom” of the lasso. Zbl 1126.62061Zou, Hui; Hastie, Trevor; Tibshirani, Robert 189 2007 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 68 2007 On testing the significance of sets of genes. Zbl 1129.62102Efron, Bradley; Tibshirani, Robert 42 2007 Averaged gene expressions for regression. Zbl 1144.62357Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 22 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 Margin trees for high-dimensional classification. Zbl 1222.68319Tibshirani, Robert; Hastie, Trevor 5 2007 Are clusters found in one dataset present in another dataset? Zbl 1170.62390Kapp, Amy V.; Tibshirani, Robert 3 2007 Prediction by supervised principal components. Zbl 1118.62326Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 60 2006 Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368Chipman, Hugh; Tibshirani, Robert 11 2006 A tail strength measure for assessing the overall univariate significance in a dataset. Zbl 1169.62391Taylor, Jonathan; Tibshirani, Robert 2 2006 Sparsity and smoothness via the fused lasso. Zbl 1060.62049Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith 407 2005 A method for calling gains and losses in array CGH data. Zbl 1069.92014Wang, Pei; Kim, Young; Pollack, Jonathan; Narasimhan, Balasubramanian; Tibshirani, Robert 11 2005 The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley 3 2005 Least angle regression. (With discussion). Zbl 1091.62054Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,087 2004 The entire regularization path for the support vector machine. Zbl 1222.68213Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 73 2004 Efficient quadratic regularization for expression arrays. Zbl 1154.62393Hastie, Trevor; Tibshirani, Robert 16 2004 Discussion on boosting papers. Zbl 1105.62314Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Statistical significance for genomewide studies. Zbl 1130.62385Storey, John D.; Tibshirani, Robert 145 2003 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 43 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 Bradley Efron: a conversation with good friends. Zbl 1331.62020Holmes, Susan; Morris, Carl; Tibshirani, Rob 2 2003 Pre-validation and inference in microarrays. Zbl 1037.62116Tibshirani, Robert J.; Efron, Brad 3 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 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,055 2001 Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia 238 2001 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 202 2001 Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert 165 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 286 2000 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524Hastie, Trevor; Tibshirani, Robert 30 2000 The covariance inflation criterion for adaptive model selection. Zbl 0924.62031Tibshirani, Robert; Knight, Keith 24 1999 Classification by pairwise coupling. Zbl 0932.62071Hastie, Trevor; Tibshirani, Robert 74 1998 The problem of regions. Zbl 0954.62031Efron, Bradley; Tibshirani, Robert 32 1998 Generalized additive models for longitudinal data. Zbl 1030.62522Berhane, Kiros; Tibshirani, Robert J. 8 1998 Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044Efron, Bradley; Tibshirani, Robert 73 1997 Regression shrinkage and selection via the lasso. Zbl 0850.62538Tibshirani, Robert 3,729 1996 Discriminant analysis by Gaussian mixtures. Zbl 0850.62476Hastie, Trevor; Tibshirani, Robert 76 1996 Using specially designed exponential families for density estimation. Zbl 0878.62028Efron, Bradley; Tibshirani, Robert 38 1996 ...and 21 more Documents all cited Publications top 5 cited Publications all top 5 Cited by 16,727 Authors 64 Lian, Heng 55 Fan, Jianqing 52 Bühlmann, Peter 44 Tibshirani, Robert John 42 Tutz, Gerhard E. 40 Zhang, Riquan 38 Li, Runze 37 Huang, Jian 33 Lin, Lu 32 Van de Geer, Sara Anna 32 Zhu, Lixing 30 Liang, Hua 27 Liu, Yufeng 26 Hastie, Trevor John 26 Yang, Hu 26 Zou, Hui 25 Bertsimas, Dimitris John 25 Ghosh, Malay 25 Kneib, Thomas 24 Leng, Chenlei 24 Ma, Shuangge 24 Mammen, Enno 24 Wang, Qihua 24 You, Jinhong 24 Zhao, Weihua 23 Liu, Han 23 Yuan, Ming 23 Zhang, Jun 23 Zhou, Yong 22 Xue, Liugen 22 Zhu, Ji 21 Hall, Peter Gavin 21 Pan, Wei 21 Weber, Gerhard-Wilhelm 20 Kauermann, Goran 20 Shen, Xiaotong 20 Tibshirani, Ryan J. 20 Wasserman, Larry Alan 19 Carrizosa, Emilio 19 Kang, Sang Gil 19 Kim, Yongdai 19 Konishi, Sadanori 19 Li, Gaorong 19 Mazumder, Rahul 19 Park, Byeong Uk 18 Alhamzawi, Rahim 18 Boyd, Stephen Poythress 18 Cai, Tony Tony 18 Cribari-Neto, Francisco 18 Gijbels, Irène 18 Lee, Woo Dong 18 Marron, James Stephen 18 Pillonetto, Gianluigi 18 Sugiyama, Masashi 18 Tang, Manlai 18 Wang, Hansheng 18 Wilcox, Rand R. 17 Cordeiro, Gauss Moutinho 17 Efron, Bradley 17 Ghosal, Subhashis 17 Huang, Jianhua Z. 17 Jiao, Yuling 17 Kel’manov, Aleksandr Vasil’evich 17 Lai, Peng 17 Linton, Oliver Bruce 17 Liu, Yanyan 17 Taylor, Jonathan E. 17 Wand, Matthew P. 17 Wu, Yichao 17 Zhang, Cun-Hui 16 Ahmed, Syed Ejaz 16 Balakrishnan, Narayanaswamy 16 Croux, Christophe 16 Härdle, Wolfgang Karl 16 Hothorn, Torsten 16 Huang, Zhensheng 16 McNicholas, Paul D. 16 Nott, David John 16 Peng, Heng 16 Tang, Niansheng 15 Cao, Jiguo 15 Eguchi, Shinto 15 Kawano, Shuichi 15 Koo, Ja-Yong 15 Li, Lexin 15 Vieu, Philippe 15 Wood, Simon N. 15 Zhang, Wenyang 15 Zhu, Liping 14 Bondell, Howard D. 14 Choi, Hosik 14 Fan, Yingying 14 Feng, Sanying 14 Hwang, Heungsun 14 James, Gareth M. 14 Kanamori, Takafumi 14 Kim, Yongku 14 Powell, Warren Buckler 14 Tian, Guoliang 14 Wang, Kangning ...and 16,627 more Authors all top 5 Cited in 574 Serials 805 Computational Statistics and Data Analysis 440 The Annals of Statistics 317 Journal of Multivariate Analysis 308 The Annals of Applied Statistics 295 Journal of Statistical Computation and Simulation 290 Journal of Statistical Planning and Inference 286 Electronic Journal of Statistics 278 Journal of Applied Statistics 272 Communications in Statistics. 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