[R] GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes

paper: https://arxiv.org/abs/2204.02112

abstract: "The Bayesian additive regression trees (BART) model is an ensemble method extensively and successfully used in regression tasks due to its consistently strong predictive performance and its ability to quantify uncertainty. BART combines "weak" tree models through a set of shrinkage priors, whereby each tree explains a small portion of the variability in the data. However, the lack of smoothness and the absence of a covariance structure over the observations in standard BART can yield poor performance …

bart bayesian machinelearning processes regression trees