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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, R.; Tibshirani, R. J.; Tibshirani, Rob; Tibshirani, Robert; Tibshirani, Robert J.
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Documents Indexed: 125 Publications since 1986, including 6 Books

Publications by Year

Citations contained in zbMATH Open

108 Publications have been cited 13,021 times in 9,272 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. Zbl 0973.62007
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
2001
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
The elements of statistical learning. Data mining, inference, and prediction. 2nd ed. Zbl 1273.62005
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome
939
2009
Least angle regression. (With discussion). Zbl 1091.62054
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert
900
2004
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
402
2008
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
402
1993
Sparsity and smoothness via the fused lasso. Zbl 1060.62049
Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith
308
2005
Pathwise coordinate optimization. Zbl 1378.90064
Friedman, Jerome; Hastie, Trevor; Höfling, Holger; Tibshirani, Robert
260
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
246
2000
Empirical Bayes analysis of a microarray experiment. Zbl 1073.62511
Efron, Bradley; Tibshirani, Robert; Storey, John D.; Tusher, Virginia
211
2001
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
184
1989
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
165
2001
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
157
2001
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
154
2007
Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Zbl 0587.62082
Efron, B.; Tibshirani, R.
138
1986
Statistical significance for genomewide studies. Zbl 1130.62385
Storey, John D.; Tibshirani, Robert
132
2003
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
122
2015
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
113
1995
Local likelihood estimation. Zbl 0626.62041
Tibshirani, Robert; Hastie, Trevor
103
1987
Generalized additive models. Zbl 0645.62068
Hastie, Trevor; Tibshirani, Robert
96
1986
Noninformative priors for one parameter of many. Zbl 0678.62010
Tibshirani, Robert
80
1989
An introduction to statistical learning. With applications in R. Zbl 1281.62147
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert
79
2013
A significance test for the lasso. Zbl 1305.62254
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
70
2014
Classification by pairwise coupling. Zbl 0932.62071
Hastie, Trevor; Tibshirani, Robert
67
1998
Improvements on cross-validation: The .632+ bootstrap method. Zbl 0887.62044
Efron, Bradley; Tibshirani, Robert
67
1997
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
66
2004
Discriminant analysis by Gaussian mixtures. Zbl 0850.62476
Hastie, Trevor; Tibshirani, Robert
66
1996
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
63
2010
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
57
2007
A simple method for the adjustment of profile likelihoods. Zbl 0716.62039
McCullagh, Peter; Tibshirani, Robert
56
1990
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
55
1994
Prediction by supervised principal components. Zbl 1118.62326
Bair, Eric; Hastie, Trevor; Paul, Debashis; Tibshirani, Robert
52
2006
Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212
Tibshirani, Robert
47
2011
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
47
2011
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
47
2010
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
45
1998
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
40
2008
On testing the significance of sets of genes. Zbl 1129.62102
Efron, Bradley; Tibshirani, Robert
39
2007
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
38
2013
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
38
2003
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
37
2011
Using specially designed exponential families for density estimation. Zbl 0878.62028
Efron, Bradley; Tibshirani, Robert
36
1996
Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033
Witten, Daniela M.; Tibshirani, Robert
30
2009
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
29
2014
Generalized additive models. With discussion. Zbl 0955.62603
Hastie, Trevor; Tibshirani, Robert
29
1986
Generalized additive models: some applications. Zbl 0633.62067
Hastie, Trevor; Tibshirani, Robert
27
1987
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
26
2000
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.
26
1986
The covariance inflation criterion for adaptive model selection. Zbl 0924.62031
Tibshirani, Robert; Knight, Keith
25
1999
Combining estimates in regression and classification. Zbl 0881.62046
LeBlanc, Michael; Tibshirani, Robert
22
1996
Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079
Allen, Genevera I.; Tibshirani, Robert
21
2010
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
21
2007
Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121
Höfling, Holger; Tibshirani, Robert
20
2009
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
18
2008
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
17
2012
Adaptive principal surfaces. Zbl 0795.62057
LeBlanc, Michael; Tibshirani, Robert
17
1994
Rejoinder: “A significance test for the lasso”. Zbl 1305.62255
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
16
2014
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.
16
2012
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
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
15
2009
Variance stabilization and the bootstrap. Zbl 0651.62039
Tibshirani, Robert
15
1988
A study of error variance estimation in Lasso regression. Zbl 1372.62023
Reid, Stephen; Tibshirani, Robert; Friedman, Jerome
14
2016
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
14
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
13
2017
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
13
2004
Statistical learning and selective inference. Zbl 1359.62228
Taylor, Jonathan; Tibshirani, Robert J.
12
2015
Sequential selection procedures and false discovery rate control. Zbl 1414.62341
Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert
11
2016
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
11
2007
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 penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Zbl 1437.62658
Witten, Daniela M.; Tibshirani, Robert; Hastie, Trevor
10
2009
A bias correction for the minimum error rate in cross-validation. Zbl 1166.62311
Tibshirani, Ryan J.; Tibshirani, Robert
10
2009
Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368
Chipman, Hugh; Tibshirani, Robert
10
2006
Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210
Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry
9
2018
Bootstrap confidence intervals and bootstrap approximations. Zbl 0622.62040
DiCiccio, Thomas; Tibshirani, Robert
9
1987
Outlier sums for differential gene expression analysis. Zbl 1121.62102
Tibshirani, Robert; Hastie, Trevor
8
2007
Generalized additive models for longitudinal data. Zbl 1030.62522
Berhane, Kiros; Tibshirani, Robert J.
8
1998
Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220
Allen, Genevera I.; Tibshirani, Robert
5
2012
Testing significance of features by lassoed principal components. Zbl 1149.62092
Witten, Daniela M.; Tibshirani, Robert
5
2008
Margin trees for high-dimensional classification. Zbl 1222.68319
Tibshirani, Robert; Hastie, Trevor
5
2007
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
5
2004
Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083
Bien, Jacob; Tibshirani, Robert
4
2011
Discussion on “On consistency and sparsity for principal components analysis in high dimensions”. Zbl 1388.62180
Witten, Daniela M.; Hastie, Trevor; Tibshirani, Robert
4
2009
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
3
2015
A study of pre-validation. Zbl 1273.62126
Höfling, Holger; Tibshirani, Robert
3
2008
Are clusters found in one dataset present in another dataset? Zbl 1170.62390
Kapp, Amy V.; Tibshirani, Robert
3
2007
The ‘miss rate’ for the analysis of gene expression data. Zbl 1069.62104
Taylor, Jonathan; Tibshirani, Robert; Efron, Bradley
3
2005
Pre-validation and inference in microarrays. Zbl 1037.62116
Tibshirani, Robert J.; Efron, Brad
3
2002
Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 07193321
Taylor, Jonathan; Tibshirani, Robert
2
2018
High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264
Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J.
2
2016
Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158
Witten, Daniela M.; Tibshirani, Robert
2
2011
Prototype selection for interpretable classification. Zbl 1234.62096
Bien, Jacob; Tibshirani, Robert
2
2011
Complementary hierarchical clustering. Zbl 1143.62085
Nowak, Gen; Tibshirani, Robert
2
2008
A tail strength measure for assessing the overall univariate significance in a dataset. Zbl 1169.62391
Taylor, Jonathan; Tibshirani, Robert
2
2006
Bradley Efron: a conversation with good friends. Zbl 1331.62020
Holmes, Susan; Morris, Carl; Tibshirani, Rob
2
2003
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
Some results on bootstrap prediction intervals. Zbl 0879.62039
Mojirsheibani, Majid; Tibshirani, Robert
2
1996
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert
1
2020
Main effects and interactions in mixed and incomplete data frames. Zbl 1441.62145
Robin, Geneviève; Klopp, Olga; Josse, Julie; Moulines, Éric; Tibshirani, Robert
1
2020
Uniform asymptotic inference and the bootstrap after model selection. Zbl 1392.62210
Tibshirani, Ryan J.; Rinaldo, Alessandro; Tibshirani, Rob; Wasserman, Larry
9
2018
Post-selection inference for \(\ell_1\)-penalized likelihood models. Zbl 07193321
Taylor, Jonathan; Tibshirani, Robert
2
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
13
2017
A study of error variance estimation in Lasso regression. Zbl 1372.62023
Reid, Stephen; Tibshirani, Robert; Friedman, Jerome
14
2016
Sequential selection procedures and false discovery rate control. Zbl 1414.62341
Grazier G’Sell, Max; Wager, Stefan; Chouldechova, Alexandra; Tibshirani, Robert
11
2016
High-dimensional regression adjustments in randomized experiments. Zbl 1407.62264
Wager, Stefan; Du, Wenfei; Taylor, Jonathan; Tibshirani, Robert J.
2
2016
Statistical learning with sparsity. The Lasso and generalizations. Zbl 1319.68003
Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin
122
2015
Statistical learning and selective inference. Zbl 1359.62228
Taylor, Jonathan; Tibshirani, Robert J.
12
2015
A permutation approach to testing interactions for binary response by comparing correlations between classes. Zbl 1373.62278
Simon, Noah; Tibshirani, Robert
3
2015
A component Lasso. Zbl 1329.62326
Hussami, Nadine; Tibshirani, Robert J.
1
2015
Convex hierarchical testing of interactions. Zbl 1454.62311
Bien, Jacob; Simon, Noah; Tibshirani, Robert
1
2015
A significance test for the lasso. Zbl 1305.62254
Lockhart, Richard; Taylor, Jonathan; Tibshirani, Ryan J.; Tibshirani, Robert
70
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
29
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
79
2013
A lasso for hierarchical interactions. Zbl 1292.62109
Bien, Jacob; Taylor, Jonathan; Tibshirani, Robert
38
2013
Standardization and the group lasso penalty. Zbl 1257.62080
Simon, Noah; Tibshirani, Robert
17
2012
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.
16
2012
Inference with transposable data: modelling the effects of row and column correlations. Zbl 1411.62220
Allen, Genevera I.; Tibshirani, Robert
5
2012
Regression shrinkage and selection via the Lasso: a retrospective. Zbl 1411.62212
Tibshirani, Robert
47
2011
Penalized classification using Fisher’s linear discriminant. Zbl 1228.62079
Witten, Daniela M.; Tibshirani, Robert
47
2011
Sparse estimation of a covariance matrix. Zbl 1228.62063
Bien, Jacob; Tibshirani, Robert J.
37
2011
Hierarchical clustering with prototypes via minimax linkage. Zbl 1229.62083
Bien, Jacob; Tibshirani, Robert
4
2011
Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Zbl 1246.62158
Witten, Daniela M.; Tibshirani, Robert
2
2011
Prototype selection for interpretable classification. Zbl 1234.62096
Bien, Jacob; 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
1
2011
Spectral regularization algorithms for learning large incomplete matrices. Zbl 1242.68237
Mazumder, Rahul; Hastie, Trevor; Tibshirani, Robert
63
2010
A framework for feature selection in clustering. Zbl 1392.62194
Witten, Daniela M.; Tibshirani, Robert
47
2010
Transposable regularized covariance models with an application to missing data imputation. Zbl 1194.62079
Allen, Genevera I.; Tibshirani, Robert
21
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
939
2009
Covariance-regularized regression and classification for high dimensional problems. Zbl 1250.62033
Witten, Daniela M.; Tibshirani, Robert
30
2009
Estimation of sparse binary pairwise Markov networks using pseudo-likelihoods. Zbl 1245.62121
Höfling, Holger; Tibshirani, Robert
20
2009
Extensions of sparse canonical correlation analysis with applications to genomic data. Zbl 1276.62099
Witten, Daniela M.; Tibshirani, Robert J.
15
2009
Univariate shrinkage in the Cox model for high dimensional data. Zbl 1276.62096
Tibshirani, Robert J.
14
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
10
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
4
2009
Sparse inverse covariance estimation with the graphical lasso. Zbl 1143.62076
Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
402
2008
Spatial smoothing and hot spot detection for CGH data using the fused lasso. Zbl 1274.62886
Tibshirani, Robert; Wang, Pei
40
2008
“Preconditioning” for feature selection and regression in high-dimensional problems. Zbl 1142.62022
Paul, Debashis; Bair, Eric; Hastie, Trevor; Tibshirani, Robert
18
2008
Testing significance of features by lassoed principal components. Zbl 1149.62092
Witten, Daniela M.; Tibshirani, Robert
5
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
260
2007
On the “degrees of freedom” of the lasso. Zbl 1126.62061
Zou, Hui; Hastie, Trevor; Tibshirani, Robert
154
2007
Regularized linear discriminant analysis and its application in microarrays. Zbl 1170.62382
Guo, Yaqian; Hastie, Trevor; Tibshirani, Robert
57
2007
On testing the significance of sets of genes. Zbl 1129.62102
Efron, Bradley; Tibshirani, Robert
39
2007
Averaged gene expressions for regression. Zbl 1144.62357
Park, Mee Young; Hastie, Trevor; Tibshirani, Robert
21
2007
Forward stagewise regression and the monotone lasso. Zbl 1306.62176
Hastie, Trevor J.; Taylor, Jonathan; Tibshirani, Rob; Walther, Guenther
11
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
52
2006
Hybrid hierarchical clustering with applications to microarray data. Zbl 1169.62368
Chipman, Hugh; Tibshirani, Robert
10
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
308
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
900
2004
The entire regularization path for the support vector machine. Zbl 1222.68213
Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
66
2004
Efficient quadratic regularization for expression arrays. Zbl 1154.62393
Hastie, Trevor; Tibshirani, Robert
13
2004
Discussion on boosting papers. Zbl 1105.62314
Friedman, Jerome; Hastie, Trevor; Rosset, Saharon; Tibshirani, Robert; Zhu, Ji
5
2004
Statistical significance for genomewide studies. Zbl 1130.62385
Storey, John D.; Tibshirani, Robert
132
2003
Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Zbl 1048.62109
Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert
38
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
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
211
2001
Estimating the number of clusters in a data set via the gap statistic. Zbl 0979.62046
Tibshirani, Robert; Walther, Guenther; Hastie, Trevor
165
2001
Significance analysis of microarrays applied to the ionizing radiation response. Zbl 1012.92014
Tusher, Virginia Goss; Tibshirani, Robert; Chu, Gilbert
157
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
246
2000
Bayesian backfitting. (With comments and a rejoinder). Zbl 1059.62524
Hastie, Trevor; Tibshirani, Robert
26
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
67
1998
The problem of regions. Zbl 0954.62031
Efron, Bradley; Tibshirani, Robert
45
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
67
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
66
1996
Using specially designed exponential families for density estimation. Zbl 0878.62028
Efron, Bradley; Tibshirani, Robert
36
1996
Combining estimates in regression and classification. Zbl 0881.62046
LeBlanc, Michael; Tibshirani, Robert
22
1996
Some results on bootstrap prediction intervals. Zbl 0879.62039
Mojirsheibani, Majid; Tibshirani, Robert
2
1996
Penalized discriminant analysis. Zbl 0821.62031
Hastie, Trevor; Buja, Andreas; Tibshirani, Robert
113
1995
Flexible discriminant analysis by optimal scoring. Zbl 0812.62067
Hastie, Trevor; Tibshirani, Robert; Buja, Andreas
55
1994
Adaptive principal surfaces. Zbl 0795.62057
LeBlanc, Michael; Tibshirani, Robert
17
1994
Nonparametric regression and classification. II: Nonparametric classification. Zbl 0825.62449
Hastie, T. J.; Tibshirani, R. J.
1
1994
Nonparametric regression and classification. I: Nonparametric regression. Zbl 0825.62448
Hastie, T. J.; Tibshirani, R. J.
1
1994
An introduction to the bootstrap. Zbl 0835.62038
Efron, Bradley; Tibshirani, Robert J.
1993
Varying-coefficient models (with discussion). Zbl 0796.62060
Hastie, Trevor; Tibshirani, Robert
402
1993
Generalized additive models. Zbl 0747.62061
Hastie, T. J.; Tibshirani, R. J.
1990
A simple method for the adjustment of profile likelihoods. Zbl 0716.62039
McCullagh, Peter; Tibshirani, Robert
56
1990
Linear smoothers and additive models. Zbl 0689.62029
Buja, Andreas; Hastie, Trevor; Tibshirani, Robert
184
1989
Noninformative priors for one parameter of many. Zbl 0678.62010
Tibshirani, Robert
80
1989
Variance stabilization and the bootstrap. Zbl 0651.62039
Tibshirani, Robert
15
1988
...and 8 more Documents
all top 5

Cited by 14,451 Authors

61 Lian, Heng
48 Fan, Jianqing
44 Bühlmann, Peter
43 Tutz, Gerhard E.
42 Tibshirani, Robert John
39 Zhang, Riquan
35 Li, Runze
31 Liang, Hua
31 Zhu, Lixing
30 Van de Geer, Sara Anna
29 Lin, Lu
25 Liu, Yufeng
24 Kneib, Thomas
24 Ma, Shuangge
23 Ghosh, Malay
23 Mammen, Enno
23 Wang, Qihua
23 Zhao, Weihua
23 Zou, Hui
22 Hastie, Trevor John
22 Weber, Gerhard-Wilhelm
21 Leng, Chenlei
21 Xue, Liugen
21 Yang, Hu
21 Yuan, Ming
21 Zhou, Yong
21 Zhu, Ji
20 Hall, Peter Gavin
20 Kauermann, Goran
20 Pan, Wei
20 You, Jinhong
19 Liu, Han
18 Boyd, Stephen Poythress
18 Kim, Yongdai
18 Konishi, Sadanori
18 Li, Gaorong
18 Park, Byeong Uk
18 Shen, Xiaotong
18 Tibshirani, Ryan J.
18 Wasserman, Larry Alan
17 Bertsimas, Dimitris John
17 Cribari-Neto, Francisco
17 Efron, Bradley
17 Härdle, Wolfgang Karl
17 Huang, Jian
17 McNicholas, Paul D.
17 Sugiyama, Masashi
17 Zhang, Cun-Hui
16 Cai, Tony Tony
16 Carrizosa, Emilio
16 Hwang, Heungsun
16 Marron, James Stephen
16 Taylor, Jonathan E.
16 Wand, Matthew P.
16 Wilcox, Rand R.
16 Wu, Yichao
15 Balakrishnan, Narayanaswamy
15 Croux, Christophe
15 Eguchi, Shinto
15 Ghosal, Subhashis
15 Huang, Jianhua Z.
15 Huang, Zhensheng
15 Kel’manov, Aleksandr Vasil’evich
15 Yu, Bin
14 Ahmed, Syed Ejaz
14 Bondell, Howard D.
14 Choi, Hosik
14 Cordeiro, Gauss Moutinho
14 Gijbels, Irène
14 Hothorn, Torsten
14 Kanamori, Takafumi
14 Mazumder, Rahul
14 Peng, Heng
14 Tian, Guoliang
14 Vieu, Philippe
14 Wang, Hansheng
14 Yang, Lijian
14 Zhao, Hongyu
13 Eilers, Paul H. C.
13 Fan, Yingying
13 He, Xuming
13 Huang, Jian
13 James, Gareth M.
13 Lai, Peng
13 Lang, Stefan M.
13 Li, Lexin
13 Linton, Oliver Bruce
13 Mei, Changlin
13 Pillonetto, Gianluigi
13 Tang, Niansheng
13 Tsai, Chihling
13 Wang, Mingqiu
13 Wood, Simon N.
13 Zhu, Liping
12 Bickel, Peter John
12 Cao, Jiguo
12 Carroll, Raymond James
12 Dunson, David Brian
12 Fadili, Jalal M.
12 Fang, Yixin
...and 14,351 more Authors
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Cited in 487 Serials

804 Computational Statistics and Data Analysis
403 The Annals of Statistics
294 Journal of Multivariate Analysis
289 Journal of Statistical Planning and Inference
266 Biometrics
261 The Annals of Applied Statistics
245 Journal of Statistical Computation and Simulation
232 Electronic Journal of Statistics
187 Journal of Applied Statistics
180 Statistics and Computing
177 Journal of the American Statistical Association
177 Computational Statistics
160 Pattern Recognition
158 Statistics & Probability Letters
151 Journal of Econometrics
150 Communications in Statistics. Simulation and Computation
146 Communications in Statistics. Theory and Methods
138 European Journal of Operational Research
121 Statistical Science
118 Machine Learning
94 Journal of Machine Learning Research (JMLR)
92 Journal of Nonparametric Statistics
89 Annals of the Institute of Statistical Mathematics
88 The Canadian Journal of Statistics
81 Test
78 Neural Computation
76 Neural Networks
71 Statistical Analysis and Data Mining
70 Journal of the Korean Statistical Society
69 Journal of the Royal Statistical Society. Series B. Statistical Methodology
68 Statistical Papers
67 Biometrical Journal
66 Psychometrika
65 Information Sciences
64 Statistical Modelling
62 Scandinavian Journal of Statistics
62 Advances in Data Analysis and Classification. ADAC
61 Mathematical Programming. Series A. Series B
59 Bernoulli
52 Journal of Agricultural, Biological, and Environmental Statistics
51 Automatica
49 Journal of Computational and Applied Mathematics
47 Computational Optimization and Applications
44 Lifetime Data Analysis
43 Journal of Classification
41 Applied and Computational Harmonic Analysis
40 Applied Mathematics and Computation
40 Statistical Applications in Genetics and Molecular Biology
40 Statistical Methodology
38 Science China. Mathematics
37 Annals of Operations Research
37 SIAM Journal on Optimization
37 Mathematical Problems in Engineering
36 Insurance Mathematics & Economics
36 Journal of Theoretical Biology
36 Bayesian Analysis
35 Metrika
35 Computational & Mathematical Methods in Medicine
34 Journal of Computational Physics
34 Quantitative Finance
33 SIAM Journal on Scientific Computing
30 Statistical Methods and Applications
29 Acta Mathematicae Applicatae Sinica. English Series
29 Journal of the Royal Statistical Society. Series C. Applied Statistics
28 Statistics
28 Biostatistics
26 Data Mining and Knowledge Discovery
26 AStA. Advances in Statistical Analysis
24 Economics Letters
24 Journal of Probability and Statistics
23 Computer Methods in Applied Mechanics and Engineering
23 Journal of Optimization Theory and Applications
23 Journal of Scientific Computing
23 Australian & New Zealand Journal of Statistics
22 Computers & Operations Research
22 Journal of Systems Science and Complexity
21 Artificial Intelligence
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20 Journal of Mathematical Psychology
20 International Journal of Approximate Reasoning
20 Computational Geosciences
20 Optimization Letters
19 Inverse Problems
19 Mathematical and Computer Modelling
19 Optimization Methods & Software
18 Econometric Theory
18 Computational Biology and Chemistry
18 SIAM Journal on Imaging Sciences
17 Journal of Fluid Mechanics
17 Journal of Time Series Analysis
17 Proceedings of the National Academy of Sciences of the United States of America
17 ASTIN Bulletin
17 Sankhyā. Series A
17 SIAM/ASA Journal on Uncertainty Quantification
16 Fuzzy Sets and Systems
16 Theoretical Computer Science
16 Signal Processing
16 Applied Mathematical Modelling
16 Journal of Statistical Theory and Practice
...and 387 more Serials
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Cited in 55 Fields

7,367 Statistics (62-XX)
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701 Biology and other natural sciences (92-XX)
508 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
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279 Information and communication theory, circuits (94-XX)
170 Systems theory; control (93-XX)
117 Calculus of variations and optimal control; optimization (49-XX)
100 Geophysics (86-XX)
98 Linear and multilinear algebra; matrix theory (15-XX)
84 Combinatorics (05-XX)
63 Operator theory (47-XX)
56 Functional analysis (46-XX)
49 Dynamical systems and ergodic theory (37-XX)
47 Approximations and expansions (41-XX)
45 Fluid mechanics (76-XX)
43 Harmonic analysis on Euclidean spaces (42-XX)
33 Partial differential equations (35-XX)
28 Mechanics of deformable solids (74-XX)
27 General and overarching topics; collections (00-XX)
19 Statistical mechanics, structure of matter (82-XX)
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3 Integral transforms, operational calculus (44-XX)
3 General topology (54-XX)
3 Relativity and gravitational theory (83-XX)
2 Group theory and generalizations (20-XX)
2 Difference and functional equations (39-XX)
2 Manifolds and cell complexes (57-XX)
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1 Field theory and polynomials (12-XX)
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