From independence tests to variable selection problems: Moving beyond Euclidean settings

Abstract

Variable screening procedures based on independence tests are considered. Special focus is placed on moving beyond the classical Euclidean setting, specifically to accommodate hyperspherical data among other types. Mixture data types are also considered. Extensive empirical studies indicate the robustness and adaptability of the proposed method to various high-dimensional structures.