Tuning parameter selectors for the smoothly clipped absolute deviation method
Tuning parameter selectors for the smoothly clipped absolute deviation method
The penalized least squares approach with smoothly clipped absolute deviation penalty has been consistently demonstrated to be an attractive regression shrinkage and selection method. It not only automatically and consistently selects the important variables, but also produces estimators which are as efficient as the oracle estimator. However, these attractive features …