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Tibshirani, Robert John

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/
External Links: MGP · Wikidata · Google Scholar · dblp · GND · IdRef
all top 5

Co-Authors

6 single-authored
55 Hastie, Trevor John
14 Friedman, Jerome Harold
14 Taylor, Jonathan E.
13 Efron, Bradley
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 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 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.
...and 36 more Co-Authors

Publications by Year

Citations contained in zbMATH Open

125 Publications have been cited 17,871 times in 12,619 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
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
The elements of statistical learning. Data mining, inference, and prediction. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
631
2008
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
505
1993
Sparsity and smoothness via the fused lasso. Zbl 1060.62049
Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith
477
2005
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
369
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
313
2000
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
308
2015
Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511
Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia
260
2001
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
223
1989
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
222
2001
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
204
2007
Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Zbl 0587.62082
Efron, B.; Tibshirani, R.
177
1986
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
175
2001
Statistical significance for genomewide studies. Zbl 1130.62385
Storey, John D.; Tibshirani, Robert
160
2003
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
150
2013
Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212
Tibshirani, Robert
127
2011
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
126
1995
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
126
1986
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
125
1987
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
110
2010
A significance test for the lasso. Zbl 1305.62254
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
109
2014
Noninformative priors for one parameter of many. Zbl 0678.62010
Tibshirani, Robert
94
1989
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
94
2009
Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044
Efron, Bradley; Tibshirani, Robert
83
1997
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
80
2004
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
80
2011
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
79
2007
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
79
1996
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
77
1998
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
75
2010
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
73
2006
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
73
2013
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
69
2011
A simple method for the adjustment of profile likelihoods. Zbl 0716.62039
McCullagh, Peter; Tibshirani, Robert
62
1990
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
60
1994
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
59
2008
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
53
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
45
2007
Using specially designed exponential families for density estimation. Zbl 0878.62028
Efron, Bradley; Tibshirani, Robert
43
1996
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.
43
2012
Causal inference by using invariant prediction: identification and confidence intervals. With discussion and authors’ reply. Zbl 1414.62297
Peters, Jonas; Bühlmann, Peter; Meinshausen, Nicolai
39
2016
Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033
Witten, Daniela M.; Tibshirani, Robert
39
2009
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
39
1987
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
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
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
33
1998
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
33
2000
Combining estimates in regression and classification. Zbl 0881.62046
LeBlanc, Michael; Tibshirani, Robert
32
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
Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121
Höfling, Holger; Tibshirani, Robert
28
2009
Sequential selection procedures and false discovery rate control. Zbl 1414.62341
Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert
26
2016
Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons. Zbl 07307187
Hastie, Trevor; Tibshirani, Robert; Tibshirani, Ryan
26
2020
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
25
2007
The covariance inflation criterion for adaptive model selection. Zbl 0924.62031
Tibshirani, Robert; Knight, Keith
25
1999
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
24
2008
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
24
2012
Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210
Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry
24
2018
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
21
2009
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
21
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
20
2017
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
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
16
2004
Rejoinder: “A significance test for the lasso”. Zbl 1305.62255
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
16
2014
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
16
2007
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
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
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
Generalized additive models for longitudinal data. Zbl 1030.62522
Berhane, Kiros; Tibshirani, Robert J.
9
1998
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
8
2021
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
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
Post-selection point and interval estimation of signal sizes in Gaussian samples. Zbl 1474.62050
Reid, Stephen; Taylor, Jonathan; Tibshirani, Robert
5
2017
Convex hierarchical testing of interactions. Zbl 1454.62311
Bien, Jacob; Simon, Noah; Tibshirani, Robert
4
2015
The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104
Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley
4
2005
Nuclear penalized multinomial regression with an application to predicting at bat outcomes in Baseball. Zbl 07289515
Powers, Scott; Hastie, Trevor; Tibshirani, Robert
4
2018
Sensitive parameters. Zbl 0659.62054
Tibshirani, Robert; Wasserman, Larry A.
4
1988
A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278
Simon, Noah; Tibshirani, Robert
4
2015
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
An introduction to statistical learning. With applications in R. 2nd edition. Zbl 1469.62002
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
8
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
26
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
A pliable Lasso. Zbl 07499284
Tibshirani, Robert; Friedman, Jerome
3
2020
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert
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
24
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
20
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
39
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
26
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
308
2015
Statistical learning and selective inference. Zbl 1359.62228
Taylor, Jonathan; Tibshirani, Robert J.
31
2015
Convex hierarchical testing of interactions. Zbl 1454.62311
Bien, Jacob; Simon, Noah; Tibshirani, Robert
4
2015
A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278
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
109
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
53
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
150
2013
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
73
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.
43
2012
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
24
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
127
2011
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
80
2011
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
69
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
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
Adaptive index models for marker-based risk stratification. Zbl 1437.62632
Tian, Lu; Tibshirani, Robert
2
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
110
2010
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
75
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
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
94
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
28
2009
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
21
2009
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
21
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
631
2008
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
59
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
369
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
204
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
79
2007
On testing the significance of sets of genes. Zbl 1129.62102
Efron, Bradley; Tibshirani, Robert
45
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
73
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
477
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
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
80
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
160
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
2001
Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511
Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia
260
2001
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
222
2001
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
175
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
313
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
33
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
77
1998
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
33
1998
Generalized additive models for longitudinal data. Zbl 1030.62522
Berhane, Kiros; Tibshirani, Robert J.
9
1998
Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044
Efron, Bradley; Tibshirani, Robert
83
1997
...and 25 more Documents
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Cited by 19,052 Authors

68 Lian, Heng
57 Fan, Jianqing
54 Bühlmann, Peter
46 Tibshirani, Robert John
46 Tutz, Gerhard E.
43 Li, Runze
42 Huang, Jian
42 Zhang, Riquan
34 Lin, Lu
34 Liu, Yufeng
34 Ma, Shuangge
34 Van de Geer, Sara Anna
33 Zhu, Lixing
32 Liang, Hua
28 Bertsimas, Dimitris John
28 Yang, Hu
28 Zou, Hui
27 Cai, Tony Tony
27 Hastie, Trevor John
26 Mammen, Enno
26 You, Jinhong
25 Ghosh, Malay
25 Kneib, Thomas
25 Weber, Gerhard-Wilhelm
25 Xue, Liugen
25 Zhou, Yong
24 Leng, Chenlei
24 Li, Lexin
24 Liu, Han
24 Wang, Qihua
24 Zhao, Weihua
24 Zhu, Ji
23 Yuan, Ming
23 Zhang, Jun
22 Boyd, Stephen Poythress
22 Li, Gaorong
22 Liu, Yanyan
21 Hall, Peter Gavin
21 Kim, Yongdai
21 Park, Byeong Uk
21 Shen, Xiaotong
21 Tibshirani, Ryan J.
20 Ahmed, Syed Ejaz
20 Carrizosa, Emilio
20 Kang, Sang Gil
20 Kauermann, Goran
20 Konishi, Sadanori
20 Pan, Wei
20 Wasserman, Larry Alan
19 Alhamzawi, Rahim
19 Lee, Woo Dong
19 Marron, James Stephen
19 Mazumder, Rahul
19 Qu, Annie
19 Tang, Manlai
19 Tang, Niansheng
19 Wang, Hansheng
19 Wu, Yichao
19 Zhu, Liping
18 Cao, Jiguo
18 Cribari-Neto, Francisco
18 Efron, Bradley
18 Gijbels, Irène
18 Härdle, Wolfgang Karl
18 Jiao, Yuling
18 Linton, Oliver Bruce
18 Pillonetto, Gianluigi
18 Sugiyama, Masashi
18 Taylor, Jonathan E.
18 Wand, Matthew P.
18 Wilcox, Rand R.
17 Balakrishnan, Narayanaswamy
17 Cordeiro, Gauss Moutinho
17 Ghosal, Subhashis
17 Huang, Jianhua Z.
17 Kel’manov, Aleksandr Vasil’evich
17 Lai, Peng
17 Li, Hongzhe
17 Lim, Johan
17 Peng, Heng
17 Vieu, Philippe
17 Wang, Kangning
17 Zhang, Cun-Hui
17 Zhao, Hongyu
16 Bondell, Howard D.
16 Croux, Christophe
16 Dunson, David Brian
16 Eguchi, Shinto
16 Feng, Yang
16 Hothorn, Torsten
16 Huang, Zhensheng
16 Kawano, Shuichi
16 McNicholas, Paul D.
16 Nott, David John
16 Tian, Maozai
16 Wood, Simon N.
16 Yu, Bin
16 Zhang, Qingzhao
16 Zhang, Wenyang
16 Zheng, Zemin
...and 18,952 more Authors
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Cited in 607 Serials

848 Computational Statistics and Data Analysis
472 The Annals of Statistics
366 Biometrics
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294 Journal of the American Statistical Association
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165 Statistics & Probability Letters
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94 Neural Networks
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40 Data Mining and Knowledge Discovery
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37 AStA. Advances in Statistical Analysis
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36 Statistical Methodology
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33 Inverse Problems
32 The American Statistician
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25 Optimization
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