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Dirichlet-Tree Allocation Priors for Bayesian Causal Forests

Aguilar, Javier Enrique et al.
arXiv (All) · Papers
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applicationsmachine-learningmethodology
Bayesian Causal Forests (BCF) estimate heterogeneous treatment effects with a separate ensemble of treatment trees. The prior on the leaf values of the treatment trees determines whether sampling variability is attributed to the treatment effect. Independent shrinkage priors exert no control over ho
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