3 papers
stat.ME2026
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng +1
Graphons offer a powerful framework for modeling large-scale networks, yet estimation remains challenging. We propose a novel approach that leverages a low-rank additive representa…
stat.ME2025
Causal Inference under Interference: Regression Adjustment and Optimality
Xinyuan Fan, Chenlei Leng, Weichi Wu
In randomized controlled trials without interference, regression adjustment is widely used to enhance the efficiency of treatment effect estimation. This paper extends this efficie…
stat.ME2024
Random Interval Distillation for Detection of Change-Points in Markov Chain Bernoulli Networks
Xinyuan Fan, Weichi Wu
We propose a new and generic approach for detecting multiple change-points in dynamic networks with Markov formation, termed random interval distillation (RID). By collecting rando…