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stat.ME2026
Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
Jiuyao Lu, Tianruo Zhang, Ke Zhu
Balancing covariates is critical for credible and efficient randomized experiments. Rerandomization addresses this by repeatedly generating treatment assignments until covariate ba…
stat.ME2025
Causal Feature Learning in the Social Sciences
Jingzhou Huang, Jiuyao Lu, Alexander Williams Tolbert
Variable selection poses a significant challenge in causal modeling, particularly within the social sciences, where constructs often rely on inter-related factors such as age, soci…
stat.ME2023
Fast Rerandomization via the BRAIN
Jiuyao Lu, Daogao Liu, Zhanran Lin +1
Randomized experiments are a crucial tool for causal inference in many different fields. Rerandomization addresses any covariate imbalance in such experiments by resampling treatme…