Kernel based method for the k-sample problem with functional data

Armando S. K. Balogoun, Guy M. Nkiet and Carlos Ogouyandjou

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 17, 5826-5849

Abstract: In this paper, we deal with the problem of testing for the equality of k probability distributions defined on (X,B), where X is a metric space and B is the corresponding Borel σ-field. We introduce a test statistic based on reproducing kernel Hilbert space embeddings and derive its asymptotic distribution under the null hypothesis. Simulations show that the introduced procedure outperforms a known method.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:17:p:5826-5849

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DOI: 10.1080/03610926.2020.1849719

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