Variable Selection for Partial Linear Single-Index Model with M-Estimation

摘要

In this paper, a method of variable selection for partial linear single-index model is proposed, which is based on the M-estimation and the adaptive LASSO. And its oracle property is established and proved. Unlike the existing M-estimator of the partial linear single-index model, the unknown link function is approximated by B-spline.