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Found 2 papers, 2 papers with code
Accounting for shared covariates in semi-parametric Bayesian additive regression trees
We propose some extensions to semi-parametric models based on Bayesian additive regression trees (BART).
Bayesian Additive Regression Trees with Model Trees
BART assumes regularisation priors on a set of trees that work as weak learners and is very flexible for predicting in the presence of non-linearity and high-order interactions.
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