Title

Maximum likelihood regression trees

Authors

Authors

X. G. Su; M. Wang;J. J. Fan

Comments

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Abbreviated Journal Title

J. Comput. Graph. Stat.

Keywords

CART; information criteria; pruning trees; tree size selection; MODEL SELECTION; SURVIVAL TREES; DECISION TREES; Statistics & Probability

Abstract

We propose a method of constructing regression trees within the framework of maximum likelihood. It inherits the backward fitting idea of classification and regression trees (CART) but has more rigorous justification. Simulation studies show that it provides more accurate tree model selection compared to CART. The analysis of a baseball dataset is given as an illustration.

Journal Title

Journal of Computational and Graphical Statistics

Volume

13

Issue/Number

3

Publication Date

1-1-2004

Document Type

Article

DOI Link

http://dx.doi.org/10.1198/106186004x2165

Language

English

First Page

586

Last Page

598

WOS Identifier

WOS:000223292000004

ISSN

1061-8600

Recommended Citation

"Maximum likelihood regression trees" (2004). Faculty Bibliography 2000s. 4820.
https://stars.library.ucf.edu/facultybib2000/4820