Asymptotic normality of a consistent estimator of maximum mean discrepancy in Hilbert space
Asymptotic normality of a consistent estimator of maximum mean discrepancy in Hilbert space
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DOI：
10.1016/j.spl.2019.108596
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发表时间：
2020-01-01
影响因子：
0.8
通讯作者：
Naito, Kanta
中科院分区：
文献类型：
--
作者：
Makigusa, Natsumi;Naito, Kanta
本文关注希尔伯特空间中最大均值差异的一致估计，该空间始终呈渐近正态分布。所提出的估计量是通过适当修改最大平均差异的朴素估计量来构造的。 (C) 2019 Elsevier B.V. 保留所有权利。
This paper is concerned with a consistent estimator of the maximum mean discrepancy in the Hilbert space, which is always asymptotically normally distributed. The proposed estimator is constructed by modifying the naive estimator of the maximum mean discrepancy appropriately. (C) 2019 Elsevier B.V. All rights reserved.