bayesian additive regression trees
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Hi,
Is there a MatLab code for bayesian additive regression trees (BART)?
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Prasanna
2024-12-9
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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!
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