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stat.ME2026
Rerandomization for quantile treatment effects
Tingxuan Han, Yuhao Wang
Although complete randomization is widely regarded as the gold standard for causal inference, covariate imbalance can still arise by chance in finite samples. Rerandomization has e…
stat.ME2026
Permutation Inference under Multi-way Clustering and Missing Data
Wenxuan Guo, Panos Toulis, Yuhao Wang
Econometric applications with multi-way clustering often feature a small number of effective clusters or heavy-tailed data, making standard cluster-robust and bootstrap inference u…
math.ST2026★ 1 cited
A multivariate extension of Azadkia-Chatterjee's rank coefficient
Wenjie Huang, Zonghan Li, Yuhao Wang
The Azadkia-Chatterjee coefficient is a rank-based measure of dependence between a random variable and a random vector . In…