Develops higher-order influence function estimators for implicitly defined parameters in non-separable structural models using U-processes theory.
Perturbed double machine learning: Nonstandard inference beyond the parametric length
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Higher-Order Debiased Estimators for General Treatment Models
Develops higher-order influence function estimators for implicitly defined parameters in non-separable structural models using U-processes theory.