Strong rules for nonconvex penalties and their implications for efficient algorithms in high-dimensional regression

Sangin Lee, Patrick Breheny

We consider approaches for improving the efficiency of algorithms for fitting nonconvex penalized regression models such as SCAD and MCP in high dimensions. In particular, we devel…