Regularization as robust regression

Ridge regression In this post I want to write about the connection of Ridge regression and robust regression. Ridge regression (also know as Thikonov regularization) is a form of regularization or shrinkage, where the parameters of linear regression are shrunk towards 0. There are several reason why one might want to use methods like this. … Continue reading Regularization as robust regression