Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
When Do Generalized Permutation Tests Achieve Optimal Power? A Dispersion Characterization
Yongmin Kim, Ilmun Kim
We study generalized Monte Carlo permutation tests under a non-uniform distribution on permutations. Focusing on the difference-in-means statistic, we introduce two scalar dispersi…
stat.ME2025
A Permutation-free Kernel Two-Sample Test
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
The kernel Maximum Mean Discrepancy~(MMD) is a popular multivariate distance metric between distributions that has found utility in two-sample testing. The usual kernel-MMD test st…