Ryan Tibshirani

Ryan Tibshirani Assistant Professor Department of Statistics Carnegie Mellon University My research interests are mainly in applied statistics, but I love to learn about problems from many different disciplines. In the summer of 2011, I completed my Ph.D. in Statistics at Stanford University. My advisor was Jonathan Taylor.

	Research

(The headings refer to the completion dates; the publication dates are given at the end of the citations.)

2011

• Ryan Tibshirani and Jonathan Taylor. Degrees of Freedom in Lasso Problems. To appear, Annals of Statistics.
  
  
• 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 and Jonathan Taylor. The Solution Path of the Generalized Lasso. Annals of Statistics, Vol. 39, No. 3, 1335-1371, 2011.
  Supplement: Proofs and Technical Details

2009

• 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.
  Supplement: Rearranging the Dartboard
  Significance article: Don't Try for the Triple 20
  Darts webpage

2008

• Ryan Tibshirani and Robert Tibshirani. A Bias Correction for the Minimum Error Rate in Cross-Validation. Annals of Applied Statistics, Vol. 3, No. 1, 822-829, 2009.
  
  
• Ryan Tibshirani. Fast Computation of the Median by Successive Binning. Unpublished.
  Median webpage