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Variable Selection Using Bayesian Additive Regression Trees

Published in arXiv (Cornell University) • Dec 28, 2021
Authors:
Chuji Luo
,
Michael J. Daniels

Abstract

Variable selection is an important statistical problem. This problem becomes more challenging when the candidate predictors are of mixed type (e.g. continuous and binary) and impact the response variable in nonlinear and/or non-additive ways. In this paper, we review existing variable selection appr...

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