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Kernel based method for the $k$-sample problem

Published in arXiv (Cornell University) • Nov 30, 2018
NobleIDNI4P71W87R47S57
Authors:
Armando Sosthène Kali Balogoun
,
Guy Martial Nkiet
,
Carlos Ogouyandjou

Abstract

In this paper we deal with the problem of testing for the equality of $k$ probability distributions defined on $(\mathcal{X},\mathcal{B})$, where $\mathcal{X}$ is a metric space and $\mathcal{B}$ is the corresponding Borel $σ$-field. We introduce a test statistic based on reproducing kernel Hilbert ...

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