On the Sensitivity of the Lasso to the Number of Predictor Variables

Cheryl J. Flynn, Clifford M. Hurvich, Jeffrey S. Simonoff

The Lasso is a computationally efficient regression regularization procedure that can produce sparse estimators when the number of predictors (p) is large. Oracle inequalities prov…