5 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ME2020★ 5 cited
Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
Yiou Li, Lulu Kang, Xiao Huang
Controlled experiments are widely used in many applications to investigate the causal relationship between input factors and experimental outcomes. A completely randomized design i…
stat.ME2019
Kernel Discrepancy-Based Rerandomization for Controlled Experiments
Yiou Li, Lulu Kang
This paper introduces a kernel discrepancy-based framework for rerandomization to enhance the precision of causal inference in controlled experiments. We demonstrate that the kerne…