Edit Profile (opens in new tab) Tibshirani, Robert John Co-Author Distance 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: 140 Publications since 1986, including 8 Books and 2 Additional arXiv Preprints 1 Contribution as Editor · 2 Further Contributions Co-Authors: 89 Co-Authors with 136 Joint Publications 1,675 Co-Co-Authors all top 5 Co-Authors 6 single-authored 56 Hastie, Trevor John 15 Taylor, Jonathan E. 14 Friedman, Jerome Harold 13 Efron, Bradley 12 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 James, Gareth M. 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 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 Tay, J. Kenneth 2 Tian, Lu 2 Tusher, Virginia Goss 2 Wager, Stefan 2 Walther, Günther 2 Wang, Pei 1 Abraham, Louis 1 Aghaeepour, Nima 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 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 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 35 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 Statistica Sinica 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 Statistical Applications in Genetics and Molecular Biology 3 Biometrika 3 Monographs on Statistics and Applied Probability 3 Springer Series in Statistics 3 Springer Texts in Statistics 2 International Statistical Review 2 Computational Statistics and Data Analysis 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 1 Statistics in Medicine all top 5 Fields 137 Statistics (62-XX) 23 Numerical analysis (65-XX) 19 Biology and other natural sciences (92-XX) 18 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 126 Publications have been cited 18,665 times in 13,186 Documents Cited by ▼ Year ▼ Regression shrinkage and selection via the lasso. Zbl 0850.62538 Tibshirani, Robert 4,520 1996 An introduction to the bootstrap. Zbl 0835.62038 Efron, Bradley; Tibshirani, Robert J. 1,536 1993 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,481 2009 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,250 2001 Generalized additive models. Zbl 0747.62061 Hastie, T. J.; Tibshirani, R. J. 1,199 1990 Least angle regression. (With discussion). Zbl 1091.62054 Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,193 2004 Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076 Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 653 2008 Varying-coefficient models (with discussion). Zbl 0796.62060 Hastie, Trevor; Tibshirani, Robert 520 1993 Sparsity and smoothness via the fused lasso. Zbl 1060.62049 Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith 489 2005 Pathwise coordinate optimization. Zbl 1378.90064 Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 380 2007 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003 Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 330 2015 Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323 Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert 320 2000 Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511 Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia 264 2001 Linear smoothers and additive models. Zbl 0689.62029 Buja, Andreas; Hastie, Trevor; Tibshirani, Robert 227 1989 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046 Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 227 2001 On the “degrees of freedom” of the lasso. Zbl 1126.62061 Zou, Hui; Hastie, Trevor; Tibshirani, Robert 209 2007 An introduction to statistical learning. With applications in R. Zbl 1281.62147 James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 207 2013 Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Zbl 0587.62082 Efron, B.; Tibshirani, R. 181 1986 Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014 Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert 176 2001 Statistical significance for genomewide studies. Zbl 1130.62385 Storey, John D.; Tibshirani, Robert 161 2003 Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212 Tibshirani, Robert 136 2011 Generalized additive models. Zbl 0645.62068 Hastie, Trevor; Tibshirani, Robert 134 1986 Local likelihood estimation. Zbl 0626.62041 Tibshirani, Robert; Hastie, Trevor 129 1987 Penalized discriminant analysis. Zbl 0821.62031 Hastie, Trevor; Buja, Andreas; Tibshirani, Robert 127 1995 Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237 Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert 116 2010 A significance test for the lasso. Zbl 1305.62254 Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 111 2014 A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658 Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor 98 2009 Noninformative priors for one parameter of many. Zbl 0678.62010 Tibshirani, Robert 94 1989 Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044 Efron, Bradley; Tibshirani, Robert 85 1997 Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079 Witten, Daniela M.; Tibshirani, Robert 82 2011 The entire regularization path for the support vector machine. Zbl 1222.68213 Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 82 2004 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382 Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 80 2007 Discriminant analysis by Gaussian mixtures. Zbl 0850.62476 Hastie, Trevor; Tibshirani, Robert 79 1996 A framework for feature selection in clustering. Zbl 1392.62194 Witten, Daniela M.; Tibshirani, Robert 79 2010 Classification by pairwise coupling. Zbl 0932.62071 Hastie, Trevor; Tibshirani, Robert 78 1998 A lasso for hierarchical interactions. Zbl 1292.62109 Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert 76 2013 Prediction by supervised principal components. Zbl 1118.62326 Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 75 2006 Sparse estimation of a covariance matrix. Zbl 1228.62063 Bien, Jacob; Tibshirani, Robert J. 73 2011 A simple method for the adjustment of profile likelihoods. Zbl 0716.62039 McCullagh, Peter; Tibshirani, Robert 62 1990 Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886 Tibshirani, Robert; Wang, Pei 60 2008 Flexible discriminant analysis by optimal scoring. Zbl 0812.62067 Hastie, Trevor; Tibshirani, Robert; Buja, Andreas 60 1994 A simple method for estimating interactions between a treatment and a large number of covariates. Zbl 1368.62294 Tian, Lu; Alizadeh, Ash A.; Gentles, Andrew J.; Tibshirani, Robert 56 2014 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109 Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 47 2003 On testing the significance of sets of genes. Zbl 1129.62102 Efron, Bradley; Tibshirani, Robert 46 2007 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. 45 2012 Using specially designed exponential families for density estimation. Zbl 0878.62028 Efron, Bradley; Tibshirani, Robert 44 1996 Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297 Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai 42 2016 Generalized additive models: some applications. Zbl 0633.62067 Hastie, Trevor; Tibshirani, Robert 40 1987 Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033 Witten, Daniela M.; Tibshirani, Robert 39 2009 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524 Hastie, Trevor; Tibshirani, Robert 37 2000 Generalized additive models. With discussion. Zbl 0955.62603 Hastie, Trevor; Tibshirani, Robert 36 1986 Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079 Allen, Genevera I.; Tibshirani, Robert 36 2010 The problem of regions. Zbl 0954.62031 Efron, Bradley; Tibshirani, Robert 34 1998 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 0955.62560 Efron, B.; Tibshirani, R. 34 1986 Combining estimates in regression and classification. Zbl 0881.62046 LeBlanc, Michael; Tibshirani, Robert 33 1996 A study of error variance estimation in Lasso regression. Zbl 1372.62023 Reid, Stephen; Tibshirani, Robert; Friedman, Jerome 32 2016 Statistical learning and selective inference. Zbl 1359.62228 Taylor, Jonathan; Tibshirani, Robert J. 31 2015 Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187 Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan 30 2020 Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121 Höfling, Holger; Tibshirani, Robert 29 2009 Sequential selection procedures and false discovery rate control. Zbl 1414.62341 Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert 27 2016 Averaged gene expressions for regression. Zbl 1144.62357 Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 25 2007 Standardization and the group lasso penalty. Zbl 1257.62080 Simon, Noah; Tibshirani, Robert 25 2012 The covariance inflation criterion for adaptive model selection. Zbl 0924.62031 Tibshirani, Robert; Knight, Keith 25 1999 Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210 Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry 25 2018 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022 Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 24 2008 Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099 Witten, Daniela M.; Tibshirani, Robert J. 23 2009 Selecting the number of principal components: estimation of the true rank of a noisy matrix. Zbl 1394.62073 Choi, Yunjin; Taylor, Jonathan; Tibshirani, Robert 22 2017 Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096 Tibshirani, Robert J. 22 2009 Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372 Taylor, Jonathan; Tibshirani, Robert 19 2018 Variance stabilization and the bootstrap. Zbl 0651.62039 Tibshirani, Robert 18 1988 Adaptive principal surfaces. Zbl 0795.62057 LeBlanc, Michael; Tibshirani, Robert 17 1994 Forward stagewise regression and the monotone lasso. Zbl 1306.62176 Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther 16 2007 Efficient quadratic regularization for expression arrays. Zbl 1154.62393 Hastie, Trevor; Tibshirani, Robert 16 2004 Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302 Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome 16 2003 Rejoinder: “A significance test for the lasso”. Zbl 1305.62255 Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 16 2014 Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083 Bien, Jacob; Tibshirani, Robert 13 2011 Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193 Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J. 13 2020 Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368 Chipman, Hugh; Tibshirani, Robert 12 2006 Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220 Allen, Genevera I.; Tibshirani, Robert 12 2012 A method for calling gains and losses in array CGH data. Zbl 1069.92014 Wang, Pei; Kim, Young; Pollack, Jonathan; Narasimhan, Balasubramanian; Tibshirani, Robert 11 2005 A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311 Tibshirani, Ryan J.; Tibshirani, Robert 11 2009 An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002 James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 11 2021 Generalized additive models for longitudinal data. Zbl 1030.62522 Berhane, Kiros; Tibshirani, Robert J. 10 1998 Bootstrap confidence intervals and bootstrap approximations. Zbl 0622.62040 DiCiccio, Thomas; Tibshirani, Robert 10 1987 High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264 Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J. 9 2016 Outlier sums for differential gene expression analysis. Zbl 1121.62102 Tibshirani, Robert; Hastie, Trevor 8 2007 LassoNet: a neural network with feature sparsity. Zbl 07370644 Lemhadri, Ismael; Ruan, Feng; Abraham, Louis; Tibshirani, Robert 8 2021 Prototype selection for interpretable classification. Zbl 1234.62096 Bien, Jacob; Tibshirani, Robert 7 2011 Discussion on boosting papers. Zbl 1105.62314 Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Testing significance of features by lassoed principal components. Zbl 1149.62092 Witten, Daniela M.; Tibshirani, Robert 6 2008 Are clusters found in one dataset present in another dataset? Zbl 1170.62390 Kapp, Amy V.; Tibshirani, Robert 5 2007 Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158 Witten, Daniela M.; Tibshirani, Robert 5 2011 Margin trees for high-dimensional classification. Zbl 1222.68319 Tibshirani, Robert; Hastie, Trevor 5 2007 Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050 Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert 5 2017 Sensitive parameters. Zbl 0659.62054 Tibshirani, Robert; Wasserman, Larry A. 4 1988 The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104 Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley 4 2005 A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278 Simon, Noah; Tibshirani, Robert 4 2015 Convex hierarchical testing of interactions. Zbl 1454.62311 Bien, Jacob; Simon, Noah; Tibshirani, Robert 4 2015 Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515 Powers, Scott; Hastie, Trevor; Tibshirani, Robert 4 2018 Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145 Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert 4 2020 Prediction and outlier detection in classification problems. Zbl 07593421 Guan, Leying; Tibshirani, Robert 2 2022 An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002 James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 11 2021 LassoNet: a neural network with feature sparsity. Zbl 07370644 Lemhadri, Ismael; Ruan, Feng; Abraham, Louis; Tibshirani, Robert 8 2021 Principal component-guided sparse regression. Zbl 1492.62116 Tay, Jingyi K.; Friedman, Jerome; Tibshirani, Robert 2 2021 Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187 Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan 30 2020 Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193 Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J. 13 2020 Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145 Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert 4 2020 A pliable Lasso. Zbl 07499284 Tibshirani, Robert; Friedman, Jerome 3 2020 Post model-fitting exploration via a “next-door” analysis. Zbl 1492.62047 Guan, Leying; Tibshirani, Robert 1 2020 Log-ratio Lasso: scalable, sparse estimation for log-ratio models. Zbl 1436.62510 Bates, Stephen; Tibshirani, Robert 3 2019 Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210 Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry 25 2018 Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372 Taylor, Jonathan; Tibshirani, Robert 19 2018 Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515 Powers, Scott; Hastie, Trevor; Tibshirani, Robert 4 2018 A general framework for estimation and inference from clusters of features. Zbl 1398.62146 Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert 1 2018 Selecting the number of principal components: estimation of the true rank of a noisy matrix. Zbl 1394.62073 Choi, Yunjin; Taylor, Jonathan; Tibshirani, Robert 22 2017 Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050 Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert 5 2017 Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297 Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai 42 2016 A study of error variance estimation in Lasso regression. Zbl 1372.62023 Reid, Stephen; Tibshirani, Robert; Friedman, Jerome 32 2016 Sequential selection procedures and false discovery rate control. Zbl 1414.62341 Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert 27 2016 High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264 Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J. 9 2016 Data shared Lasso: a novel tool to discover uplift. Zbl 1466.62082 Gross, Samuel M.; Tibshirani, Robert 3 2016 Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003 Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin 330 2015 Statistical learning and selective inference. Zbl 1359.62228 Taylor, Jonathan; Tibshirani, Robert J. 31 2015 A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278 Simon, Noah; Tibshirani, Robert 4 2015 Convex hierarchical testing of interactions. Zbl 1454.62311 Bien, Jacob; Simon, Noah; Tibshirani, Robert 4 2015 Customized training with an application to mass spectrometric imaging of cancer tissue. Zbl 1397.62467 Powers, Scott; Hastie, Trevor; Tibshirani, Robert 2 2015 A component Lasso. Zbl 1329.62326 Hussami, Nadine; Tibshirani, Robert J. 1 2015 A significance test for the lasso. Zbl 1305.62254 Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 111 2014 A simple method for estimating interactions between a treatment and a large number of covariates. Zbl 1368.62294 Tian, Lu; Alizadeh, Ash A.; Gentles, Andrew J.; Tibshirani, Robert 56 2014 Rejoinder: “A significance test for the lasso”. Zbl 1305.62255 Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 16 2014 Sensitivity analysis for inference with partially identifiable covariance matrices. Zbl 1306.65059 Grazier G’sell, Max; Shen-Orr, Shai S.; Tibshirani, Robert 1 2014 Correction: Rejoinder to “A significance test for the lasso”. Zbl 1305.62243 Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert 1 2014 An introduction to statistical learning. With applications in R. Zbl 1281.62147 James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert 207 2013 A lasso for hierarchical interactions. Zbl 1292.62109 Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert 76 2013 Strong rules for discarding predictors in Lasso-type problems. Zbl 1411.62213 Tibshirani, Robert; Bien, Jacob; Friedman, Jerome; Hastie, Trevor; Simon, Noah; Taylor, Jonathan; Tibshirani, Ryan J. 45 2012 Standardization and the group lasso penalty. Zbl 1257.62080 Simon, Noah; Tibshirani, Robert 25 2012 Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220 Allen, Genevera I.; Tibshirani, Robert 12 2012 Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212 Tibshirani, Robert 136 2011 Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079 Witten, Daniela M.; Tibshirani, Robert 82 2011 Sparse estimation of a covariance matrix. Zbl 1228.62063 Bien, Jacob; Tibshirani, Robert J. 73 2011 Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083 Bien, Jacob; Tibshirani, Robert 13 2011 Prototype selection for interpretable classification. Zbl 1234.62096 Bien, Jacob; Tibshirani, Robert 7 2011 Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158 Witten, Daniela M.; Tibshirani, Robert 5 2011 Comment on “A framework for feature selection in clustering”. Zbl 1430.62126 Celeux, Gilles; Martin-Magniette, Marie-Laure; Maugis, Cathy; Raftery, Adrian E. 3 2011 Adaptive index models for marker-based risk stratification. Zbl 1437.62632 Tian, Lu; Tibshirani, Robert 2 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 2 2011 Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237 Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert 116 2010 A framework for feature selection in clustering. Zbl 1392.62194 Witten, Daniela M.; Tibshirani, Robert 79 2010 Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079 Allen, Genevera I.; Tibshirani, Robert 36 2010 Predicting patient survival from longitudinal gene expression. Zbl 1304.92103 Zhang, Yuping; Tibshirani, Robert J.; Davis, Ronald W. 1 2010 The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,481 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 98 2009 Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033 Witten, Daniela M.; Tibshirani, Robert 39 2009 Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121 Höfling, Holger; Tibshirani, Robert 29 2009 Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099 Witten, Daniela M.; Tibshirani, Robert J. 23 2009 Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096 Tibshirani, Robert J. 22 2009 A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311 Tibshirani, Ryan J.; Tibshirani, Robert 11 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 653 2008 Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886 Tibshirani, Robert; Wang, Pei 60 2008 “Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022 Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert 24 2008 Testing significance of features by lassoed principal components. Zbl 1149.62092 Witten, Daniela M.; Tibshirani, Robert 6 2008 A study of pre-validation. Zbl 1273.62126 Höfling, Holger; Tibshirani, Robert 3 2008 Complementary hierarchical clustering. Zbl 1143.62085 Nowak, Gen; Tibshirani, Robert 2 2008 Pathwise coordinate optimization. Zbl 1378.90064 Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert 380 2007 On the “degrees of freedom” of the lasso. Zbl 1126.62061 Zou, Hui; Hastie, Trevor; Tibshirani, Robert 209 2007 Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382 Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert 80 2007 On testing the significance of sets of genes. Zbl 1129.62102 Efron, Bradley; Tibshirani, Robert 46 2007 Averaged gene expressions for regression. Zbl 1144.62357 Park, Mee Young; Hastie, Trevor; Tibshirani, Robert 25 2007 Forward stagewise regression and the monotone lasso. Zbl 1306.62176 Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther 16 2007 Outlier sums for differential gene expression analysis. Zbl 1121.62102 Tibshirani, Robert; Hastie, Trevor 8 2007 Are clusters found in one dataset present in another dataset? Zbl 1170.62390 Kapp, Amy V.; Tibshirani, Robert 5 2007 Margin trees for high-dimensional classification. Zbl 1222.68319 Tibshirani, Robert; Hastie, Trevor 5 2007 Prediction by supervised principal components. Zbl 1118.62326 Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert 75 2006 Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368 Chipman, Hugh; Tibshirani, Robert 12 2006 A tail strength measure for assessing the overall univariate significance in a dataset. Zbl 1169.62391 Taylor, Jonathan; Tibshirani, Robert 3 2006 Sparsity and smoothness via the fused lasso. Zbl 1060.62049 Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith 489 2005 A method for calling gains and losses in array CGH data. Zbl 1069.92014 Wang, Pei; Kim, Young; Pollack, Jonathan; Narasimhan, Balasubramanian; Tibshirani, Robert 11 2005 The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104 Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley 4 2005 Least angle regression. (With discussion). Zbl 1091.62054 Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert 1,193 2004 The entire regularization path for the support vector machine. Zbl 1222.68213 Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 82 2004 Efficient quadratic regularization for expression arrays. Zbl 1154.62393 Hastie, Trevor; Tibshirani, Robert 16 2004 Discussion on boosting papers. Zbl 1105.62314 Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji 7 2004 Statistical significance for genomewide studies. Zbl 1130.62385 Storey, John D.; Tibshirani, Robert 161 2003 Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109 Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert 47 2003 Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302 Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome 16 2003 Bradley Efron: a conversation with good friends. Zbl 1331.62020 Holmes, Susan; Morris, Carl; Tibshirani, Rob 2 2003 Pre-validation and inference in microarrays. Zbl 1037.62116 Tibshirani, Robert J.; Efron, Brad 3 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 Supervised learning from microarray data. Zbl 1439.62022 Hastie, Trevor; Tibshirani, Robert; Narasimhan, Balasubramanian; Chu, Gilbert 1 2002 The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome 1,250 2001 Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511 Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia 264 2001 Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046 Tibshirani, Robert; Walther, Guenther; Hastie, Trevor 227 2001 Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014 Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert 176 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 320 2000 Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524 Hastie, Trevor; Tibshirani, Robert 37 2000 The covariance inflation criterion for adaptive model selection. Zbl 0924.62031 Tibshirani, Robert; Knight, Keith 25 1999 Classification by pairwise coupling. Zbl 0932.62071 Hastie, Trevor; Tibshirani, Robert 78 1998 The problem of regions. Zbl 0954.62031 Efron, Bradley; Tibshirani, Robert 34 1998 Generalized additive models for longitudinal data. Zbl 1030.62522 Berhane, Kiros; Tibshirani, Robert J. 10 1998 ...and 26 more Documents all cited Publications top 5 cited Publications all top 5 Cited by 19,905 Authors 70 Lian, Heng 57 Fan, Jianqing 56 Bühlmann, Peter 49 Tutz, Gerhard E. 48 Tibshirani, Robert John 44 Li, Runze 42 Huang, Jian 42 Zhang, Riquan 37 Liu, Yufeng 35 Ma, Shuangge 34 Lin, Lu 34 Van de Geer, Sara Anna 33 Liang, Hua 33 Zhu, Lixing 30 Bertsimas, Dimitris John 29 Hastie, Trevor John 28 Yang, Hu 28 Zou, Hui 27 Cai, Tony Tony 27 Weber, Gerhard-Wilhelm 27 You, Jinhong 26 Mammen, Enno 26 Zhou, Yong 25 Ghosh, Malay 25 Kneib, Thomas 25 Xue, Liugen 24 Boyd, Stephen Poythress 24 Leng, Chenlei 24 Li, Gaorong 24 Li, Lexin 24 Liu, Han 24 Wang, Qihua 24 Zhao, Weihua 24 Zhu, Ji 23 Yuan, Ming 23 Zhang, Jun 22 Carrizosa, Emilio 22 Liu, Yanyan 22 Shen, Xiaotong 21 Hall, Peter Gavin 21 Kim, Yongdai 21 Park, Byeong Uk 21 Tibshirani, Ryan J. 21 Wasserman, Larry Alan 20 Ahmed, Syed Ejaz 20 Kang, Sang Gil 20 Kauermann, Goran 20 Konishi, Sadanori 20 Mazumder, Rahul 20 Pan, Wei 20 Qu, Annie 20 Tang, Manlai 20 Tang, Niansheng 20 Wang, Hansheng 20 Zhu, Liping 19 Alhamzawi, Rahim 19 Lee, Woo Dong 19 Marron, James Stephen 19 Wu, Yichao 18 Efron, Bradley 18 Gijbels, Irène 18 Härdle, Wolfgang Karl 18 Jiao, Yuling 18 Linton, Oliver Bruce 18 Peng, Heng 18 Pillonetto, Gianluigi 18 Sugiyama, Masashi 18 Taylor, Jonathan E. 18 Wand, Matthew P. 18 Wilcox, Rand R. 18 Zhang, Wenyang 17 Balakrishnan, Narayanaswamy 17 Cordeiro, Gauss Moutinho 17 Ghosal, Subhashis 17 Huang, Jianhua Z. 17 Kawano, Shuichi 17 Kel’manov, Aleksandr Vasil’evich 17 Lai, Peng 17 Li, Hongzhe 17 Lim, Johan 17 Vieu, Philippe 17 Wang, Kangning 17 Zhang, Cun-Hui 17 Zhao, Hongyu 16 Baladandayuthapani, Veerabhadran 16 Bondell, Howard D. 16 Choi, Hosik 16 Cribari-Neto, Francisco 16 Croux, Christophe 16 Dunson, David Brian 16 Eguchi, Shinto 16 Feng, Yang 16 Hothorn, Torsten 16 Huang, Zhensheng 16 Koo, Ja-Yong 16 Lin, Huazhen 16 McNicholas, Paul D. 16 Nott, David John 16 Peyré, Gabriel 16 Tian, Maozai ...and 19,805 more Authors all top 5 Cited in 624 Serials 854 Computational Statistics and Data Analysis 482 The Annals of Statistics 368 Biometrics 347 The Annals of Applied Statistics 340 Journal of Multivariate Analysis 338 Journal of Statistical Computation and Simulation 327 Journal of Applied Statistics 319 Electronic Journal of Statistics 310 Communications in Statistics. Simulation and Computation 303 Journal of the American Statistical Association 299 Journal of Statistical Planning and Inference 268 Communications in Statistics. Theory and Methods 245 Statistics and Computing 244 Computational Statistics 204 Journal of Econometrics 194 Machine Learning 181 Journal of Machine Learning Research (JMLR) 166 Statistics & Probability Letters 166 European Journal of Operational Research 164 Journal of Computational and Graphical Statistics 150 Statistical Science 135 Pattern Recognition 119 Annals of the Institute of Statistical Mathematics 113 Journal of Nonparametric Statistics 108 The Canadian Journal of Statistics 106 Test 105 Journal of the Korean Statistical Society 102 Statistical Papers 98 Advances in Data Analysis and Classification. ADAC 96 Neural Networks 93 Psychometrika 93 Biometrical Journal 93 Information Sciences 93 Neural Computation 93 Statistica Sinica 79 Scandinavian Journal of Statistics 79 Mathematical Programming. Series A. Series B 77 Bernoulli 74 Journal of Computational and Applied Mathematics 72 Statistical Analysis and Data Mining 71 Computational Optimization and Applications 70 Journal of the Royal Statistical Society. Series B. Statistical Methodology 66 Annals of Operations Research 66 Statistical Modelling 66 Journal of Agricultural, Biological, and Environmental Statistics 65 Journal of Computational Physics 62 Automatica 61 Statistical Methods and Applications 57 Quantitative Finance 57 Bayesian Analysis 56 Journal of Classification 56 SIAM Journal on Optimization 53 Lifetime Data Analysis 51 International Statistical Review 49 Applied Mathematics and Computation 48 Econometric Reviews 46 Statistical Applications in Genetics and Molecular Biology 45 Computer Methods in Applied Mechanics and Engineering 45 Statistics 45 SIAM Journal on Scientific Computing 43 Journal of Optimization Theory and Applications 43 Applied and Computational Harmonic Analysis 43 Science China. Mathematics 42 Insurance Mathematics & Economics 42 Journal of Scientific Computing 41 Metrika 41 Data Mining and Knowledge Discovery 40 The American Statistician 38 Journal of Global Optimization 38 Mathematical Problems in Engineering 38 Journal of Statistical Theory and Practice 37 Australian & New Zealand Journal of Statistics 37 Computational & Mathematical Methods in Medicine 37 AStA. Advances in Statistical Analysis 36 Inverse Problems 36 Statistical Methodology 36 Journal of Theoretical Biology 32 SIAM Journal on Mathematics of Data Science 31 Acta Mathematicae Applicatae Sinica. English Series 30 Computers & Operations Research 30 Economics Letters 30 Optimization Methods & Software 30 Optimization Letters 29 Applied Mathematical Modelling 29 Journal of the Royal Statistical Society. Series C. Applied Statistics 29 SIAM/ASA Journal on Uncertainty Quantification 28 Biostatistics 28 Journal of Systems Science and Complexity 28 ASTIN Bulletin 27 INFORMS Journal on Computing 27 Journal of Probability and Statistics 26 Physica A 26 Statistica Neerlandica 26 Journal of Time Series Analysis 25 Artificial Intelligence 25 Optimization 25 Sankhyā. Series A 24 Journal of Fluid Mechanics 24 International Journal of Approximate Reasoning 24 Statistical Theory and Related Fields ...and 524 more Serials all top 5 Cited in 58 Fields 10,501 Statistics (62-XX) 1,983 Numerical analysis (65-XX) 1,849 Computer science (68-XX) 1,340 Operations research, mathematical programming (90-XX) 835 Biology and other natural sciences (92-XX) 741 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 481 Probability theory and stochastic processes (60-XX) 392 Information and communication theory, circuits (94-XX) 225 Systems theory; control (93-XX) 188 Calculus of variations and optimal control; optimization (49-XX) 156 Linear and multilinear algebra; matrix theory (15-XX) 136 Operator theory (47-XX) 120 Geophysics (86-XX) 110 Combinatorics (05-XX) 77 Functional analysis (46-XX) 74 Dynamical systems and ergodic theory (37-XX) 71 Fluid mechanics (76-XX) 69 Partial differential equations (35-XX) 65 Approximations and expansions (41-XX) 54 Statistical mechanics, structure of matter (82-XX) 52 Harmonic analysis on Euclidean spaces (42-XX) 46 Mechanics of deformable solids (74-XX) 41 Quantum theory (81-XX) 30 General and overarching topics; collections (00-XX) 26 Ordinary differential equations (34-XX) 17 Astronomy and astrophysics (85-XX) 15 Special functions (33-XX) 15 Convex and discrete geometry (52-XX) 15 Optics, electromagnetic theory (78-XX) 14 History and biography (01-XX) 13 Differential geometry (53-XX) 13 Mechanics of particles and systems (70-XX) 12 Algebraic topology (55-XX) 11 Algebraic geometry (14-XX) 9 Real functions (26-XX) 8 Integral equations (45-XX) 8 Global analysis, analysis on manifolds (58-XX) 7 Number theory (11-XX) 7 Relativity and gravitational theory (83-XX) 7 Mathematics education (97-XX) 6 Commutative algebra (13-XX) 6 Measure and integration (28-XX) 5 Mathematical logic and foundations (03-XX) 5 Geometry (51-XX) 5 General topology (54-XX) 4 Integral transforms, operational calculus (44-XX) 4 Classical thermodynamics, heat transfer (80-XX) 3 Order, lattices, ordered algebraic structures (06-XX) 3 Group theory and generalizations (20-XX) 3 Manifolds and cell complexes (57-XX) 2 Associative rings and algebras (16-XX) 2 Functions of a complex variable (30-XX) 1 Field theory and polynomials (12-XX) 1 Potential theory (31-XX) 1 Several complex variables and analytic spaces (32-XX) 1 Difference and functional equations (39-XX) 1 Sequences, series, summability (40-XX) 1 Abstract harmonic analysis (43-XX) Citations by Year Wikidata Timeline The data are displayed as stored in Wikidata under a Creative Commons CC0 License. Updates and corrections should be made in Wikidata.