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Graph-Split Bayesian Causal Forest for Spatial Heterogeneous Treatment Effect Estimation
In spatial observational studies, treatment assignment and outcomes often exhibit spatial dependence patterns, and treatment effects may vary across space and subpopulations due to both measured and unmeasured spatially structured confounders. Accounting for spatial dependence while estimating heter
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