Free access to International Statistical Review article

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  • Author: Statistics Views
  • Date: 07 July 2014

Each week, we select an article hot off the press and provide free access for a limited period. This week's is from International Statistical Review, available from Early View, whereby articles can be viewed prior to issue allocation.

To read the article in full, please click on the link below.

Fifty Years of Classification and Regression Trees
Wei-Yin Loh

International Statistical Review, Early View
DOI: 10.1111/insr.12016


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Fifty years have passed since the publication of the first regression tree algorithm. New techniques have added capabilities that far surpass those of the early methods. Modern classification trees can partition the data with linear splits on subsets of variables and fit nearest neighbor, kernel density, and other models in the partitions. Regression trees can fit almost every kind of traditional statistical model, including least-squares, quantile, logistic, Poisson, and proportional hazards models, as well as models for longitudinal and multiresponse data. Greater availability and affordability of software (much of which is free) have played a significant role in helping the techniques gain acceptance and popularity in the broader scientific community. This article surveys the developments and briefly reviews the key ideas behind some of the major algorithms.

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