conformal inference 1dyadic data 1graphon estimation 1kernel smoothing 1treatment effects 1unobserved confounding 1
From the 1 of 3 linked papers with an AI index.
3 papers
econ.EM2026
Estimating Dyadic Treatment Effects with Unknown Confounders
Tadao Hoshino, Takahide Yanagi
The paper introduces methods to estimate treatment effects in dyadic data when unobserved confounders may affect treatment choice, using graphon‑based kernel smoothing and conforma…
econ.EM2026
Network-Adjusted GMM Estimation under Network Uncertainty
Tadao Hoshino
This paper proposes a network-adjusted generalized method of moments (NA-GMM) estimator for social interaction models when the observed network may differ from the true interaction…
stat.ME2025
Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
Tadao Hoshino
This paper develops a sensitivity analysis framework that transfers the average total treatment effect (ATTE) from source data with a fully observed network to target data whose ne…