Smoothing Effects of Bagging: Von Mises Expansions of Bagged Statistical Functionals

Andreas Buja, Werner Stuetzle

Bagging is a device intended for reducing the prediction error of learning algorithms. In its simplest form, bagging draws bootstrap samples from the training sample, applies the l…