3 papers
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…
math.ST2025
Nonparametric Two-Sample Testing by Betting
Shubhanshu Shekhar, Aaditya Ramdas
We study the problem of designing consistent sequential two-sample tests in a nonparametric setting. Guided by the principle of testing by betting, we reframe this task into that o…
stat.AP2025
Sequential One-Sided Hypothesis Testing of Markov Chains
Greg Fields, Tara Javidi, Shubhanshu Shekhar
We study the problem of sequentially testing whether a given stochastic process is generated by a known Markov chain. Formally, given access to a stream of random variables, we wan…