2 papers
math.ST2026
Treatment effect estimation under convergent network interference
Bryan Park, Stefan Wager
Under network interference, a unit's observed outcome depends on the treatment assignment of its neighboring units in an exposure graph. Existing design-based asymptotic theory typ…
stat.ME2026
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
Bryan Park, Stefan Wager
We propose a framework, the Neyman Jackknife, for conservative variance estimation in finite-population causal inference under interference. Our approach provides a general, flexib…