An Introduction to Ensemble Methods for Data Analysis
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 cros...
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Published in | Sociological methods & research Vol. 34; no. 3; pp. 263 - 295 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Thousand Oaks, CA
SAGE Publications
01.02.2006
Sage Publications SAGE PUBLICATIONS, INC |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0049-1241 1552-8294 |
DOI: | 10.1177/0049124105283119 |