Guo-Dong Li

Semiparametric Inference for Dynamic Causal Effects from Observational Time Series

In observational time series, statistical inference for dynamic causal effects of a one-time intervention across horizons is complicated by high-dimensional observed pre-treatment information, unmeasured confounding, and serial dependence. To address these challenges, we develop a semiparametric framework for inference...