Nonparametric augmented probability weighting with sparsity

Xin He, Xiaojun Mao, Zhonglei Wang

Abstract: Highlights•A kernel-based nonparametric sparse learning algorithm is conducted for feature selection.•A nonparametric augmented inverse probability weighting framework is proposed.•Theoretical properties of the proposed estimators are investigated.•The proposed estimator outperforms its competitors numerically.