A \(k\)-sample test for functional data based on generalized maximum mean discrepancy

DOI10.1007/s10986-022-09572-xOpenAlexW4291178544WikidataQ114224944 ScholiaQ114224944MaRDI QIDQ2674407

Guy Martial Nkiet, Armando Sosthène Kali Balogoun, Carlos Ogouyandjou

Publication date: 12 September 2022

Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10986-022-09572-x

zbMATH Keywords

asymptotic distributionhypothesis testingreproducing kernel Hilbert spacefunctional data analysismaximum mean discrepancy\(k\)-sample problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
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• Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles

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