BART is a Bayesian nonparametric, machine learning, ensemble predictive modeling method for continuous, binary, categorical and time-to-event outcomes. [Sparapani, Spanbauer, and McCulloch (2021), 1)
Sparapani, Rodney, Charles Spanbauer, and Robert McCulloch. 2021. “Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART r Package.” Journal of Statistical Software 97 (1): 1–66. https://www.jstatsoft.org/article/view/v097i01.