The Annals of Statistics
- Ann. Statist.
- Volume 44, Number 3 (2016), 907-927.
Exact post-selection inference, with application to the lasso
We develop a general approach to valid inference after model selection. At the core of our framework is a result that characterizes the distribution of a post-selection estimator conditioned on the selection event. We specialize the approach to model selection by the lasso to form valid confidence intervals for the selected coefficients and test whether all relevant variables have been included in the model.
Ann. Statist. Volume 44, Number 3 (2016), 907-927.
Received: January 2015
Revised: September 2015
First available in Project Euclid: 11 April 2016
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Lee, Jason D.; Sun, Dennis L.; Sun, Yuekai; Taylor, Jonathan E. Exact post-selection inference, with application to the lasso. Ann. Statist. 44 (2016), no. 3, 907--927. doi:10.1214/15-AOS1371. https://projecteuclid.org/euclid.aos/1460381681