•   •   •   •

Download the Paper (316 K, PDF file) - March 27, 2005 Tell a colleague about it. Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.

ABSTRACT:
This paper provides an introduction to ensemble statistical proce- dures as a special case of algorithmic methods. The discussion beings with classification and regression trees (CART) as a didactic device to introduce many of the key issues. Following the material on CART is a consideration of cross-validation, bagging, random forests and boosting. Ma jor points are illustrated with analyses of real data.

SUGGESTED CITATION:
Richard Berk, "An Introduction to Ensemble Methods for Data Analysis" (March 27, 2005). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2005032701.
http://repositories.cdlib.org/uclastat/papers/2005032701