新方法增强了具有不等样本量Mmd测试

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-10 04:00

一篇新发表在arXiv上的论文介绍了一种通过解决不等样本量这一常见问题来改进最大均值差异（MMD）测试的方法。该研究将广义U统计量扩展到MMD估计器，提供了一种在不丢弃样本的情况下使用所有可用数据的方法。这种方法提高了测试的准确性和功效，尤其是在样本量不成比例的情况下。 AI

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arXiv stat.ML TIER_1 English(EN) · Aaron Wei, Milad Jalali, Danica J. Sutherland · 2026-07-10 04:00

广义U统计量在不等样本量下的最大均值差异

arXiv:2512.13997v2 Announce Type: replace Abstract: Existing two-sample testing techniques, particularly those based on choosing a kernel for the Maximum Mean Discrepancy (MMD), often assume equal sample sizes from the two distributions. Applying these methods in practice can req…