Open Access
2009 Navigating Random Forests and related advances in algorithmic modeling
David S. Siroky
Statist. Surv. 3: 147-163 (2009). DOI: 10.1214/07-SS033


This article addresses current methodological research on non-parametric Random Forests. It provides a brief intellectual history of Random Forests that covers CART, boosting and bagging methods. It then introduces the primary methods by which researchers can visualize results, the relationships between covariates and responses, and the out-of-bag test set error. In addition, the article considers current research on universal consistency and importance tests in Random Forests. Finally, several uses for Random Forests are discussed, and available software is identified.


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David S. Siroky. "Navigating Random Forests and related advances in algorithmic modeling." Statist. Surv. 3 147 - 163, 2009.


Published: 2009
First available in Project Euclid: 5 November 2009

zbMATH: 1190.62100
MathSciNet: MR2556872
Digital Object Identifier: 10.1214/07-SS033

Primary: 62-02 , 62-04 , 62G08 , 62G09 , 62H30 , 62M99 , 62N99 , 93E25

Keywords: algorithmic methods , bagging , boosting , CART , ensemble and committee methods , non-parametrics , random forests

Rights: Copyright © 2009 The author, under a Creative Commons Attribution License

Vol.3 • 2009
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