AI RESEARCH
Bayesian Additive Regression Trees for functional ANOVA model
arXiv CS.LG
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ArXi:2509.03317v4 Announce Type: replace-cross Bayesian Additive Regression Trees (BART) is a powerful statistical model that leverages the strengths of Bayesian inference and regression trees. It has received significant attention for capturing complex non-linear relationships and interactions among predictors. However, the accuracy of BART often comes at the cost of interpretability.