Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
that differs in that effects already in the model do not necessarily stay there. These traditional models are greedy. They change at every step, regardless of future steps. As a result, predictions are unstable when there are many correlated variables involved. Also, traditional methods produce a