The Lasso (Tibslhirani, 1996) and SCAD (Fan and Li, 2001) are popular methods for regression model selection.These methods impose penalties on regression coefficients to shrink a subset of them towarls zero to achieve the parameter estimation and model selection simultaneously.The amount of shrinkage is controlled by the regularization parameter.