Original paper

Regularization and Variable Selection Via the Elastic Net

Volume: 67, Issue: 2, Pages: 301 - 320
Published: Mar 9, 2005
Abstract
Summary We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation. In addition, the elastic net encourages a grouping effect, where strongly correlated predictors tend to be in or out of the model together. The elastic net is particularly useful when the number of predictors (p)...
Paper Details
Title
Regularization and Variable Selection Via the Elastic Net
Published Date
Mar 9, 2005
Volume
67
Issue
2
Pages
301 - 320
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