Concept条件平均处理效应 / Conditional Average Treatment Effect
CATE
A causal inference quantity that characterizes the dependence of treatment effects on individual features, expressed as τ(x)=E[Y(1)−Y(0)|X=x]. It is a core metric in precision medicine and heterogeneous policy evaluation.
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Oct 14
When using kernel methods or local polynomial estimation for CATE, the local structure of the covariate distribution (such as spikes, discontinuities or irregular clustering) is directly reflected in the convergence behavior of the estimator.
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