robert tibshirani

60 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-0553-5090

Department of Biomedical Data Science and Statistics, Stanford University, Stanford, CA

Publications

• Cross-Validation: What Does It Estimate and How Well Does It Do It? — Journal of the American Statistical Association 2024
• Large-scale multivariate sparse regression with applications to UK Biobank — The Annals of Applied Statistics 2022
• Prediction and outlier detection in classification problems — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Main Effects and Interactions in Mixed and Incomplete Data Frames — Journal of the American Statistical Association 2020
• Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron — Journal of the American Statistical Association 2020
• Uniform asymptotic inference and the bootstrap after model selection — The Annals of Statistics 2018
• A General Framework for Estimation and Inference From Clusters of Features — Journal of the American Statistical Association 2018
• Selecting the number of principal components: Estimation of the true rank of a noisy matrix — The Annals of Statistics 2017
• Sequential selection procedures and false discovery rate control — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
• A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes — Journal of the American Statistical Association 2015
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates — Journal of the American Statistical Association 2014
• Correction to rejoinder to “A significance test for the Lasso” — The Annals of Statistics 2014
• A significance test for the lasso — The Annals of Statistics 2014
• Inference with transposable data: modelling the effects of row and column correlations — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
• Prototype selection for interpretable classification — The Annals of Applied Statistics 2011
• Hierarchical Clustering With Prototypes via Minimax Linkage — Journal of the American Statistical Association 2011
• Penalized classification using Fisher's linear discriminant — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
• Regression shrinkage and selection via the lasso: a retrospective — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
• A Framework for Feature Selection in Clustering — Journal of the American Statistical Association 2010
• Correction — Journal of the American Statistical Association 2010
• Discussion — Journal of the American Statistical Association 2009
• Covariance-regularized regression and classification for high dimensional problems — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
• “Preconditioning” for feature selection and regression in high-dimensional problems — The Annals of Statistics 2008
• Testing significance of features by lassoed principal components — The Annals of Applied Statistics 2008
• A study of pre-validation — The Annals of Applied Statistics 2008
• Pathwise coordinate optimization — The Annals of Applied Statistics 2007
• On the “degrees of freedom” of the lasso — The Annals of Statistics 2007
• On testing the significance of sets of genes — The Annals of Applied Statistics 2007
• Prediction by Supervised Principal Components — Journal of the American Statistical Association 2006
• Comment — Journal of the American Statistical Association 2005
• Sparsity and smoothness via the fused lasso — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2005
• Least angle regression — The Annals of Statistics 2004
• Discussions of boosting papers, and rejoinders — The Annals of Statistics 2004
• Empirical Bayes Analysis of a Microarray Experiment — Journal of the American Statistical Association 2001
• Estimating the number of clusters in a data set via the gap statistic — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2001
• Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors) — The Annals of Statistics 2000
• The Covariance Inflation Criterion for Adaptive Model Selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1999
• The problem of regions — The Annals of Statistics 1998
• Classification by pairwise coupling — The Annals of Statistics 1998
• Comment — Journal of the American Statistical Association 1998
• Improvements on Cross-Validation: The 632+ Bootstrap Method — Journal of the American Statistical Association 1997
• Regression Shrinkage and Selection Via the Lasso — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1996
• Discriminant Analysis by Gaussian Mixtures — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1996
• Combining Estimates in Regression and Classification — Journal of the American Statistical Association 1996
• Using specially designed exponential families for density estimation — The Annals of Statistics 1996
• Penalized Discriminant Analysis — The Annals of Statistics 1995
• Adaptive Principal Surfaces — Journal of the American Statistical Association 1994
• Flexible Discriminant Analysis by Optimal Scoring — Journal of the American Statistical Association 1994
• Varying-Coefficient Models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1993
• A Simple Method for the Adjustment of Profile Likelihoods — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1990
• Noninformative priors for one parameter of many — Biometrika 1989
• Rejoinder: Linear Smoothers and Additive Models — The Annals of Statistics 1989
• Linear Smoothers and Additive Models — The Annals of Statistics 1989
• Correction: Discussion of "Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis" by C. F. J. Wu — The Annals of Statistics 1988
• Estimating Transformations for Regression via Additivity and Variance Stabilization — Journal of the American Statistical Association 1988
• Variance stabilization and the bootstrap — Biometrika 1988
• Comment — Journal of the American Statistical Association 1987
• Local Likelihood Estimation — Journal of the American Statistical Association 1987
• Generalized Additive Models: Some Applications — Journal of the American Statistical Association 1987
• Bootstrap Confidence Intervals and Bootstrap Approximations — Journal of the American Statistical Association 1987