Regularization Methods and Sparse Models

This chapter discusses regularization methods, which can feasibly lead to simplified models even in the presence of an extremely large number of potential predictors. It discusses how these methods can be viewed as providing a tradeoff between accuracy of estimation of the expected response given th... View More