Author

Xiaojing Du

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Preprint Aug 2026

When Interference Graphs Evolve: Doubly Robust Estimation of Dynamic Peer Effects

Peer effects are difficult to estimate when interaction graphs evolve because pre-assignment network history, dynamic peer exposure, and post-assignment network change have distinct causal roles. We introduce a controlled contrast framework that indexes potential outcomes by own treatment, temporally aggregated peer ex...

Xiao-Jing Du · 0 citations

Preprint Aug 2026

Transportable Causal Effect Estimation across Networks under Interference

TranCE (Transported Causal Effects), a doubly-robust algorithm combining an interventional outcome model, a domain density-ratio correction, and cross-fitted inference, is presented, which has the potential to improve intervention strategies in networked systems, particularly in social networks and public health.

Xiaojing Du, Jiuyong Li, Lin Liu et al. · 0 citations