Bayesian Additive Regression Trees

Bayesian Additive Regression Trees (BART) is a statistical method used to make predictions by combining decision trees. It builds multiple tree models and averages their results, allowing for a flexible approach to capture complex patterns in data. BART incorporates prior knowledge and uncertainty into its predictions, thus providing not just estimates but also confidence levels. This method is particularly effective for analyzing relationships between variables in situations where traditional methods might struggle, making it useful in various fields like finance, medicine, and environmental science.