Shrinkage penalty

Ridge regression is an indispensable regularization technique in statistical modeling, specifically designed to address stability issues when fitting linear models that suffer from multicollinearity. Multicollinearity arises when predictor variables within the model are highly correlated with one another. This high correlation can lead to highly inflated variance in the standard coefficient estimates, making them unstable […]