Theo Saarinen

On the Computational Efficiency of Bayesian Additive Regression Trees: An Asymptotic Analysis

2024 · arXiv (Cornell University)

Bayesian Additive Regression Trees (BART) is a popular Bayesian non-parametric regression model that is commonly used in causal inference and beyond. Its strong predictive performance is supported by well-developed estimation theory, comprising guarantees that its …