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Tibshirani, Robert John

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Author ID: tibshirani.robert-j Recent zbMATH articles by "Tibshirani, Robert John"
Published as: Tibshirani, Robert; Tibshirani, Robert J.; Tibshirani, Rob; Tibshirani, R. J.; Tibshirani, R.
Homepage: https://tibshirani.su.domains/
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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

Publications by Year

Citations contained in zbMATH Open

121 Publications have been cited 15,451 times in 11,033 Documents Cited by Year
Regression shrinkage and selection via the lasso. Zbl 0850.62538
Tibshirani, Robert
1996
An introduction to the bootstrap. Zbl 0835.62038
Efron, Bradley; Tibshirani, Robert J.
1993
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2009
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
2004
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
526
2008
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
463
1993
Sparsity and smoothness via the fused lasso. Zbl 1060.62049
Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith
398
2005
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
322
2007
Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors). Zbl 1106.62323
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
275
2000
Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511
Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia
235
2001
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
220
2015
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
205
1989
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
200
2001
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
186
2007
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
164
2001
Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Zbl 0587.62082
Efron, B.; Tibshirani, R.
162
1986
Statistical significance for genomewide studies. Zbl 1130.62385
Storey, John D.; Tibshirani, Robert
143
2003
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
122
2013
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
117
1987
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
116
1995
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
108
1986
A significance test for the lasso. Zbl 1305.62254
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
91
2014
Noninformative priors for one parameter of many. Zbl 0678.62010
Tibshirani, Robert
90
1989
Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212
Tibshirani, Robert
88
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
86
2010
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
75
1996
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
72
1998
Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044
Efron, Bradley; Tibshirani, Robert
72
1997
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
71
2004
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
66
2007
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
63
2011
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
59
2006
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
59
2010
A simple method for the adjustment of profile likelihoods. Zbl 0716.62039
McCullagh, Peter; Tibshirani, Robert
57
1990
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
56
1994
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
55
2011
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
54
2008
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
53
2013
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
43
2003
On testing the significance of sets of genes. Zbl 1129.62102
Efron, Bradley; Tibshirani, Robert
42
2007
Using specially designed exponential families for density estimation. Zbl 0878.62028
Efron, Bradley; Tibshirani, Robert
38
1996
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
37
2014
Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033
Witten, Daniela M.; Tibshirani, Robert
35
2009
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
34
1986
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
33
2009
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.
32
2012
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.
32
1986
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
32
1998
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
31
1987
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
30
2000
Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079
Allen, Genevera I.; Tibshirani, Robert
29
2010
Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297
Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai
28
2016
Combining estimates in regression and classification. Zbl 0881.62046
LeBlanc, Michael; Tibshirani, Robert
27
1996
The covariance inflation criterion for adaptive model selection. Zbl 0924.62031
Tibshirani, Robert; Knight, Keith
24
1999
Statistical learning and selective inference. Zbl 1359.62228
Taylor, Jonathan; Tibshirani, Robert J.
23
2015
Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121
Höfling, Holger; Tibshirani, Robert
23
2009
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
22
2007
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
22
2012
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
22
2008
A study of error variance estimation in Lasso regression. Zbl 1372.62023
Reid, Stephen; Tibshirani, Robert; Friedman, Jerome
22
2016
Sequential selection procedures and false discovery rate control. Zbl 1414.62341
Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert
20
2016
Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210
Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry
18
2018
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
18
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
17
2017
Adaptive principal surfaces. Zbl 0795.62057
LeBlanc, Michael; Tibshirani, Robert
17
1994
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
17
2009
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
16
2020
Variance stabilization and the bootstrap. Zbl 0651.62039
Tibshirani, Robert
16
1988
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
15
2004
Rejoinder: “A significance test for the lasso”. Zbl 1305.62255
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
14
2014
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
Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368
Chipman, Hugh; Tibshirani, Robert
11
2006
A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311
Tibshirani, Ryan J.; Tibshirani, Robert
10
2009
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
9
2003
Bootstrap confidence intervals and bootstrap approximations. Zbl 0622.62040
DiCiccio, Thomas; Tibshirani, Robert
9
1987
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
8
2020
Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372
Taylor, Jonathan; Tibshirani, Robert
8
2018
Generalized additive models for longitudinal data. Zbl 1030.62522
Berhane, Kiros; Tibshirani, Robert J.
8
1998
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220
Allen, Genevera I.; Tibshirani, Robert
7
2012
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
7
2004
Prototype selection for interpretable classification. Zbl 1234.62096
Bien, Jacob; Tibshirani, Robert
6
2011
Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083
Bien, Jacob; Tibshirani, Robert
6
2011
Testing significance of features by lassoed principal components. Zbl 1149.62092
Witten, Daniela M.; Tibshirani, Robert
6
2008
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158
Witten, Daniela M.; Tibshirani, Robert
5
2011
High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264
Wager, 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 1373.62278
Simon, Noah; Tibshirani, Robert
4
2015
Sensitive parameters. Zbl 0659.62054
Tibshirani, Robert; Wasserman, Larry A.
4
1988
Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050
Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert
3
2017
A study of pre-validation. Zbl 1273.62126
Höfling, Holger; Tibshirani, Robert
3
2008
Pre-validation and inference in microarrays. Zbl 1037.62116
Tibshirani, Robert J.; Efron, Brad
3
2002
The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104
Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley
3
2005
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
Some results on bootstrap prediction intervals. Zbl 0879.62039
Mojirsheibani, Majid; Tibshirani, Robert
3
1996
Are clusters found in one dataset present in another dataset? Zbl 1170.62390
Kapp, Amy V.; Tibshirani, Robert
3
2007
Adaptive index models for marker-based risk stratification. Zbl 1437.62632
Tian, Lu; Tibshirani, Robert
2
2011
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
2
2021
LassoNet: a neural network with feature sparsity. Zbl 07370644
Lemhadri, Ismael; Ruan, Feng; Abraham, Louis; Tibshirani, Robert
1
2021
Principal component-guided sparse regression. Zbl 1492.62116
Tay, Jingyi K.; Friedman, Jerome; Tibshirani, Robert
1
2021
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
16
2020
Rejoinder: “Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons”. Zbl 07307193
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan J.
8
2020
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert
2
2020
A pliable Lasso. Zbl 07499284
Tibshirani, Robert; Friedman, Jerome
1
2020
Log-ratio Lasso: scalable, sparse estimation for log-ratio models. Zbl 1436.62510
Bates, Stephen; Tibshirani, Robert
2
2019
Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210
Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry
18
2018
Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 1466.62372
Taylor, Jonathan; Tibshirani, Robert
8
2018
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; 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
17
2017
Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050
Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert
3
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
28
2016
A study of error variance estimation in Lasso regression. Zbl 1372.62023
Reid, Stephen; Tibshirani, Robert; Friedman, Jerome
22
2016
Sequential selection procedures and false discovery rate control. Zbl 1414.62341
Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert
20
2016
High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264
Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J.
4
2016
Data shared Lasso: a novel tool to discover uplift. Zbl 1466.62082
Gross, Samuel M.; Tibshirani, Robert
2
2016
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
220
2015
Statistical learning and selective inference. Zbl 1359.62228
Taylor, Jonathan; Tibshirani, Robert J.
23
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
2
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
91
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
37
2014
Rejoinder: “A significance test for the lasso”. Zbl 1305.62255
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
14
2014
Correction: Rejoinder to “A significance test for the lasso”. Zbl 1305.62243
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
1
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
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
122
2013
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
53
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.
32
2012
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
22
2012
Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220
Allen, Genevera I.; Tibshirani, Robert
7
2012
Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212
Tibshirani, Robert
88
2011
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
63
2011
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
55
2011
Prototype selection for interpretable classification. Zbl 1234.62096
Bien, Jacob; Tibshirani, Robert
6
2011
Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083
Bien, Jacob; Tibshirani, Robert
6
2011
Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158
Witten, Daniela M.; Tibshirani, Robert
5
2011
Adaptive index models for marker-based risk stratification. Zbl 1437.62632
Tian, Lu; Tibshirani, Robert
2
2011
Comment on “A framework for feature selection in clustering”. Zbl 1430.62126
Celeux, 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 1314.62247
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
86
2010
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
59
2010
Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079
Allen, Genevera I.; Tibshirani, Robert
29
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
2009
Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033
Witten, Daniela M.; Tibshirani, Robert
35
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
33
2009
Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121
Höfling, Holger; Tibshirani, Robert
23
2009
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
18
2009
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
17
2009
A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311
Tibshirani, Ryan J.; Tibshirani, Robert
10
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
526
2008
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
54
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
22
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
322
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
186
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
66
2007
On testing the significance of sets of genes. Zbl 1129.62102
Efron, Bradley; Tibshirani, Robert
42
2007
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
22
2007
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
16
2007
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Are clusters found in one dataset present in another dataset? Zbl 1170.62390
Kapp, Amy V.; Tibshirani, Robert
3
2007
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
59
2006
Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368
Chipman, Hugh; Tibshirani, Robert
11
2006
A tail strength measure for assessing the overall univariate significance in a dataset. Zbl 1169.62391
Taylor, Jonathan; Tibshirani, Robert
2
2006
Sparsity and smoothness via the fused lasso. Zbl 1060.62049
Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith
398
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
3
2005
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
71
2004
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
15
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
143
2003
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
43
2003
Note on “Comparison of model selection for regression” by Vladimir Cherkassky and Yunqian Ma. Zbl 1109.62302
Hastie, Trevor; Tibshirani, Rob; Friedman, Jerome
9
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
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511
Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia
235
2001
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
200
2001
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
164
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
275
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
30
2000
The covariance inflation criterion for adaptive model selection. Zbl 0924.62031
Tibshirani, Robert; Knight, Keith
24
1999
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
72
1998
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
32
1998
Generalized additive models for longitudinal data. Zbl 1030.62522
Berhane, Kiros; Tibshirani, Robert J.
8
1998
Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044
Efron, Bradley; Tibshirani, Robert
72
1997
Regression shrinkage and selection via the lasso. Zbl 0850.62538
Tibshirani, Robert
1996
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
75
1996
Using specially designed exponential families for density estimation. Zbl 0878.62028
Efron, Bradley; Tibshirani, Robert
38
1996
...and 21 more Documents
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Cited by 16,524 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 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 Yang, Hu
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 Park, Byeong Uk
18 Boyd, Stephen Poythress
18 Cai, Tony Tony
18 Cribari-Neto, Francisco
18 Gijbels, Irène
18 Lee, Woo Dong
18 Marron, James Stephen
18 Mazumder, Rahul
18 Pillonetto, Gianluigi
18 Sugiyama, Masashi
18 Tang, Manlai
18 Wilcox, Rand R.
17 Alhamzawi, Rahim
17 Efron, Bradley
17 Ghosal, Subhashis
17 Jiao, Yuling
17 Lai, Peng
17 Linton, Oliver Bruce
17 Liu, Yanyan
17 Taylor, Jonathan E.
17 Wand, Matthew P.
17 Wang, Hansheng
17 Wu, Yichao
17 Zhang, Cun-Hui
16 Ahmed, Syed Ejaz
16 Balakrishnan, Narayanaswamy
16 Cordeiro, Gauss Moutinho
16 Croux, Christophe
16 Härdle, Wolfgang Karl
16 Hothorn, Torsten
16 Huang, Jianhua Z.
16 Huang, Zhensheng
16 McNicholas, Paul D.
16 Nott, David John
16 Peng, Heng
16 Tang, Niansheng
16 Zhu, Liping
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
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
14 Wang, Mingqiu
...and 16,424 more Authors
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Cited in 571 Serials

800 Computational Statistics and Data Analysis
440 The Annals of Statistics
314 Journal of Multivariate Analysis
308 The Annals of Applied Statistics
293 Journal of Statistical Computation and Simulation
289 Journal of Statistical Planning and Inference
286 Electronic Journal of Statistics
275 Journal of Applied Statistics
267 Communications in Statistics. Simulation and Computation
266 Biometrics
236 Communications in Statistics. Theory and Methods
214 Computational Statistics
205 Statistics and Computing
188 Journal of the American Statistical Association
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165 Journal of Econometrics
157 Statistics & Probability Letters
148 European Journal of Operational Research
141 Statistical Science
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124 Journal of Machine Learning Research (JMLR)
108 Annals of the Institute of Statistical Mathematics
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100 Journal of Nonparametric Statistics
97 Test
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92 Neural Computation
91 Statistical Papers
88 The Canadian Journal of Statistics
82 Psychometrika
76 Advances in Data Analysis and Classification. ADAC
73 Neural Networks
72 Statistical Analysis and Data Mining
70 Bernoulli
69 Journal of the Royal Statistical Society. Series B. Statistical Methodology
68 Mathematical Programming. Series A. Series B
67 Biometrical Journal
65 Statistical Modelling
62 Scandinavian Journal of Statistics
62 Journal of Agricultural, Biological, and Environmental Statistics
59 Information Sciences
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57 Automatica
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54 Annals of Operations Research
52 Statistica Sinica
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49 Journal of Classification
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41 Science China. Mathematics
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40 Applied and Computational Harmonic Analysis
38 Metrika
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35 Statistical Methodology
35 Computational & Mathematical Methods in Medicine
34 Data Mining and Knowledge Discovery
33 AStA. Advances in Statistical Analysis
32 Insurance Mathematics & Economics
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31 Acta Mathematicae Applicatae Sinica. English Series
31 Journal of Global Optimization
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30 Computer Methods in Applied Mechanics and Engineering
29 Journal of the Royal Statistical Society. Series C. Applied Statistics
28 Journal of Scientific Computing
28 Biostatistics
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26 Economics Letters
25 ASTIN Bulletin
24 Inverse Problems
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22 Artificial Intelligence
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22 Optimization Methods & Software
22 Computational Geosciences
21 Econometric Theory
21 Sankhyā. Series A
20 Journal of Fluid Mechanics
20 INFORMS Journal on Computing
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19 Physica A
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19 International Journal of Approximate Reasoning
19 Sankhyā. Series B
...and 471 more Serials
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