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Download the Paper (330 K, PDF file) - July 25, 2004 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 procedures 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. Major points are illustrated with analyses of real data.

SUGGESTED CITATION:
Richard Berk, "An Introduction to Ensemble Methods for Data Analysis (Revised July, 2004)" (July 25, 2004). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2004072501.
http://repositories.cdlib.org/uclastat/papers/2004072501