Bayesian Additive Regression Trees ( BART )

By R. Sparapani, Robert E. McCulloch. 2019

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1. Antonio R. Linero
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4. Ahmed M. Alaa

Citations in the corpus

• Bayesian regression tree ensembles that adapt to smoothness and sparsity (2017, methodology): “There are various possible options for tuning T , such as approximate leave-one-out (LOO) cross-validation using Pareto-smoothed importance sampling (Vehtari et al., 2017), maximizing an approximate marginal likelihood obtained by using (say) the widely applicable Bayesian information criterior (WBI”