Ridge regression; shrinkage estimators (Lasso)

Why the Lasso L^1 Penalty Drives Regression Coefficients to Zero Unlike Ridge Regression

The lasso is a shrinkage method for linear regression that constrains the sum of the absolute values of the coefficients (an L^1 norm bound, equivalently an L^1 penalty), in contrast to ridge regress…