Model-free and Distributionally Robust Feature Screening with False Discovery Control for High-Dimensional Heterogeneous Data

In this paper, we propose a model-free feature screening framework tailored for high-dimensional and heterogeneous datasets, based on a novel distributionally robust dependence measure termed Copula Divergence. The proposed screening method, named CD-Screen, addresses critical limitations of existin