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stat.ME2026
Unbiased Treatment Effect Estimation under Network Interference via Neighborhood-Excluded Cross-Fitting
Haoyang Yu, Anqi Zhao, Hanzhong Liu
Without interference, cross-fitting enables flexible covariate adjustment while preserving finite-sample unbiasedness under independent unit-level randomization. Under network inte…
stat.ME2026
Design-based edge-level causal inference with machine learning assisted covariate adjustment
Haoyang Yu, Yilin Li, Lu Deng +3
We study design-based causal inference for edge-level outcomes in directed networks under dyadic interference. In this setting, outcomes are defined on directed edges and depend on…