Ji-Ah-Ua Lv

Sparse-group Convoluted Smoothed Quantile Regression in High Dimension

In many applications, covariates are naturally organized into groups, yet conventional group-selection methods often retain all variables within selected groups, failing to achieve within-group sparsity. To address this limitation, we propose an adaptive two-stage sparse-group selection procedure for high-dimensional q...