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math.ST2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Ryan J. Tibshirani, Alessandro Rinaldo, Robert Tibshirani +1
Recently, Tibshirani et al. (2016) proposed a method for making inferences about parameters defined by model selection, in a typical regression setting with normally distributed er…
math.ST2010★ 1 cited
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani, Jacob Bien, Jerome Friedman +4
We consider rules for discarding predictors in lasso regression and related problems, for computational efficiency. El Ghaoui et al (2010) propose "SAFE" rules that guarantee that…