Ryan Tibshirani
Ryan Tibshirani
Associate Professor of Statistics, and Machine Learning, Carnegie Mellon University
Verified email at cmu.edu - Homepage
Title
Cited by
Cited by
Year
The solution path of the generalized lasso
RJ Tibshirani, J Taylor
The annals of statistics 39 (3), 1335-1371, 2011
7542011
A significance test for the lasso
R Lockhart, J Taylor, RJ Tibshirani, R Tibshirani
Annals of statistics 42 (2), 413, 2014
6872014
Strong rules for discarding predictors in lasso‐type problems
R Tibshirani, J Bien, J Friedman, T Hastie, N Simon, J Taylor, ...
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
5162012
The lasso problem and uniqueness
RJ Tibshirani
Electronic Journal of statistics 7, 1456-1490, 2013
4872013
Exact post-selection inference for sequential regression procedures
RJ Tibshirani, J Taylor, R Lockhart, R Tibshirani
Journal of the American Statistical Association 111 (514), 600-620, 2016
369*2016
Degrees of freedom in lasso problems
RJ Tibshirani, J Taylor
The Annals of Statistics 40 (2), 1198-1232, 2012
3232012
Adaptive piecewise polynomial estimation via trend filtering
RJ Tibshirani
The Annals of Statistics 42 (1), 285-323, 2014
3132014
Surprises in high-dimensional ridgeless least squares interpolation
T Hastie, A Montanari, S Rosset, RJ Tibshirani
arXiv preprint arXiv:1903.08560, 2019
2502019
Distribution-free predictive inference for regression
J Lei, M G’Sell, A Rinaldo, RJ Tibshirani, L Wasserman
Journal of the American Statistical Association 113 (523), 1094-1111, 2018
2312018
Trend filtering on graphs
YX Wang, J Sharpnack, AJ Smola, RJ Tibshirani
Journal of Machine Learning Research 17 (105), 1-41, 2016
2002016
Best subset, forward stepwise or lasso? Analysis and recommendations based on extensive comparisons
T Hastie, R Tibshirani, R Tibshirani
Statistical Science 35 (4), 579-592, 2020
164*2020
A bias correction for the minimum error rate in cross-validation
RJ Tibshirani, R Tibshirani
The Annals of Applied Statistics 3 (2), 822-829, 2009
1112009
Flexible modeling of epidemics with an empirical Bayes framework
LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld
PLoS computational biology 11 (8), e1004382, 2015
1062015
Nearly-isotonic regression
RJ Tibshirani, H Hoefling, R Tibshirani
Technometrics 53 (1), 54-61, 2011
1062011
Fast and flexible admm algorithms for trend filtering
A Ramdas, RJ Tibshirani
Journal of Computational and Graphical Statistics 25 (3), 839-858, 2016
932016
Uniform asymptotic inference and the bootstrap after model selection
RJ Tibshirani, A Rinaldo, R Tibshirani, L Wasserman
The Annals of Statistics 46 (3), 1255-1287, 2018
762018
Nonparametric modal regression
YC Chen, CR Genovese, RJ Tibshirani, L Wasserman
The Annals of Statistics 44 (2), 489-514, 2016
752016
Efficient implementations of the generalized lasso dual path algorithm
TB Arnold, RJ Tibshirani
Journal of Computational and Graphical Statistics 25 (1), 1-27, 2016
722016
Results from the second year of a collaborative effort to forecast influenza seasons in the United States
M Biggerstaff, M Johansson, D Alper, LC Brooks, P Chakraborty, ...
Epidemics 24, 26-33, 2018
712018
Predictive inference with the jackknife+
RF Barber, EJ Candes, A Ramdas, RJ Tibshirani
The Annals of Statistics 49 (1), 486-507, 2021
602021
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