On the robustness of the adaptive lasso to model misspecification
On the robustness of the adaptive lasso to model misspecification
Penalization methods have been shown to yield both consistent variable selection and oracle parameter estimation under correct model specification. In this article, we study such methods under model misspecification, where the assumed form of the regression function is incorrect, including generalized linear models for uncensored outcomes and the proportional hazards …