An introduction to ensemble methods for data analysis

被引：95

作者：

Berk, Richard A. ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Los Angeles, CA 90024 USA

来源：

SOCIOLOGICAL METHODS & RESEARCH | 2006年 / 34卷 / 03期

关键词：

CART; data analysis; algorithmic methods; ensemble methods;

D O I：

10.1177/0049124105283119

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：263 / 295

页数：33

共 31 条

[1] Developing a practical forecasting screener for domestic violence incidents [J].