Two-sample test based on maximum variance discrepancy

被引:0
|
作者
Makigusa, N. [1 ]
机构
[1] Yokohama City Univ, Grad Sch Nanobioscience, Yokohama, Japan
关键词
Kernel method; maximum mean discrepancy; reproducing kernel Hilbert space; two-sample test;
D O I
10.1080/03610926.2023.2220851
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we introduce a novel discrepancy called the maximum variance discrepancy for the purpose of measuring the difference between two distributions in Hilbert spaces that cannot be found via the maximum mean discrepancy. We also propose a two-sample goodness of fit test based on this discrepancy. We obtain the asymptotic null distribution of this two-sample test, which provides an efficient approximation method for the null distribution of the test.
引用
收藏
页码:5421 / 5438
页数:18
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