Ryan Tibshirani
Research
(The headings refer to the completion dates; the publication dates are given at the end
of the citations.)
2013
2012
2011
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Ryan Tibshirani and Jonathan Taylor.
Degrees of Freedom in Lasso Problems.
Annals of Statistics, Vol. 40, No. 2, 1198-1232, 2012.
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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
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Ryan Tibshirani, Holger Hoefling, and Robert Tibshirani.
Nearly-Isotonic Regression.
Technometrics, Vol. 53, No. 1, 54-61, 2011.
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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
R package: "genlasso"
2009
2008