Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas, and Ryan Tibshirani.
Predictive Inference with the Jackknife+.
Annals of Statistics, Vol. 49, No. 1, 486-507, 2021.
2018
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, and Ryan Tibshirani.
A Higher-Order Kolmogorov Smirnov Test.
International Conference on Artificial Intelligence and Statistics, 2019.
Yen-Chi Chen, Christopher Genovese, Ryan Tibshirani, and Larry Wasserman.
Nonparametric Modal Regression.
Annals of Statistics, Vol. 44, No. 2, 489-514, 2016.
Richard Lockhart, Jonathan Taylor, Ryan Tibshirani, and Robert Tibshirani.
A Significance Test for the Lasso.
Annals of Statistics, Vol. 42, No. 2, 413-468, 2014.
Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, and Ryan Tibshirani.
Strong Rules for Discarding Predictors in Lasso-Type Problems.
Journal of the Royal Statistical Society: Series B, Vol. 74, No. 2, 245-266, 2012.
2010
Ryan Tibshirani, Holger Hoefling, and Robert Tibshirani.
Nearly-Isotonic Regression.
Technometrics, Vol. 53, No. 1, 54-61, 2011.
Ryan Tibshirani, Andrew Price, and Jonathan Taylor.
A Statistician Plays Darts.
Journal of the Royal Statistical Society: Series A, Vol. 174, No. 1, 213-226, 2011.