An Introduction to Ensemble Methods for Data Analysis

Richard A. Berk
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Richard A. Berk: University of California, Los Angeles

Sociological Methods & Research, 2006, vol. 34, issue 3, 263-295

Abstract: This article provides an introduction to ensemble statistical procedures as a special case of algorithmic methods. The discussion begins 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.

Keywords: CART; data analysis; algorithmic methods; ensemble methods (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:34:y:2006:i:3:p:263-295

DOI: 10.1177/0049124105283119

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