R scripts to reproduce the results presented in the paper "Bayesian additive regression trees for genotype by environment interaction models". The Annals of Applied Statistics 17 (3) (2023). R scripts ...

BART (Bayesian Additive Regression Tree) is an ensemble technique based on the Bayes theorem which is used to calculate the posterior probability.Fitting and inference by this model are accomplished ...

In order to improve the accuracy of precipitation forecasting with the linear regression of traditional statistical model and the nonlinear regression of Neural Network (NN) model, especially in ...

Second, our formula is machine-learned using the state-of-the-art algorithm that sums decision trees. This model called “Bayesian Additive Regression Trees” (BART), an out-of-the-box predictive ...

In order to improve the accuracy of precipitation forecasting with the linear regression of traditional statistical model and the nonlinear regression of Neural Network (NN) model, especially in ...