High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization

Kean Ming Tan, Lan Wang, Wen-Xin Zhou

${\ell }_1$-penalized quantile regression is widely used for analyzing high-dimensional data with heterogeneity. It is now recognized that the ${\ell }_1$-penalty introduces non-negligib…