4 papers
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…
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…
math.PR2024
Random walk in slowly changing environments
Bryan Park, Souvik Ray
A Random Walk in Changing Environment (RWCE) is a weighted random walk on a locally finite, connected graph with random, time-dependent edge-weights. This includes self-interac…
math.CO2023
A graph-theoretic remark on Stieltjes moment sequences
Bryan Park
For any integer define by where $a'_n=\det(a_{n+i+j})_{i,j=…