Author

Jin-Hong Du

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Preprint Sep 2026

Risk-Calibrated Balancing for High-Dimensional Causal Extrapolation

In observational causal inference, covariate balancing is widely used to reduce source-target covariate shift, but under weak overlap in high dimensions, stronger balance can induce concentrated weights and increase variance. Balance measures how well the target covariate distribution is represented, but does not by it...

Feng-Lin Yang, Hao-Ran Lei, Yan Chen et al. · 0 citations

Preprint Sep 2026

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...

Shi-Bo Yu, Yan Chen, Jin-Hong Du et al. · 1 citation