bayesian additive regression trees

Hi,

Is there a MatLab code for bayesian additive regression trees (BART)?

Answer 1

[Prasanna]

Hi Mohammadfarid,

You can implement BART in MATLAB by following the general algorithm described in the BART literature. To implement the same, refer the following steps:

• BART is a sum of trees model where each tree is constrained to be a weak learner.
• Initially, setup the model and define the prior distributions for the parameters of the trees. Initialize the trees and parameters as well.
• Use MCMC sampling to iteratively update the trees and parameters. At each iteration, update one tree while keeping the others fixed.
• After running the MCMC, use the samples to make predictions and quantify uncertainty.

For more information, refer to the following resources:

• BART paper: https://rob-mcculloch.org/code/BART-7-05.pdf
• Boosted binary regression trees: https://www.mathworks.com/matlabcentral/fileexchange/42130-boosted-binary-regression-trees
• BART using MATLAB: https://github.com/weizhang-econ/BART_MATLAB/tree/main

Hope this helps!