A nonparametrically efficient estimator for network quantile causal effects under partial interference achieves parametric convergence rates via three-way cross-fitting and flexible nuisance estimation.
Pearl J (2003)
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Large-scale study finds that counterfactual metrics on semi-simulated data do not select the same estimators as observable metrics on real data, and benchmark rankings fail to transfer.
A review that organizes causal decision making into three stages and consolidates methods into an open Python collection.
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