Decision trees partition covariate space to detect positivity violations in causal inference, augmented by random forests to quantify violation robustness within each subspace.
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A discriminative approach for finding and characterizing positivity violations using decision trees
Decision trees partition covariate space to detect positivity violations in causal inference, augmented by random forests to quantify violation robustness within each subspace.