1 Introduction  
2 Tuning Parameter Selection for Lasso  
3 Alternative \(L_1\)-Penalty Based Methods: From Tuning Selection to Tuning Free  
4 Other Alternative Tuning Parameter Selection Methods for Lasso  
5 Nonconvex Penalized High-dimensional Regression and Tuning for Support Recovery  
6 A Real Data Example  
7 Discussions