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

DOI10.1080/03610926.2020.1849719OpenAlexW3111325464MaRDI QIDQ5095978

Carlos Ogouyandjou, Guy Martial Nkiet, Armando Sosthène Kali Balogoun

Publication date: 12 August 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.00100

zbMATH Keywords

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

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• fda (R)

Cites Work

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• Dispersion operators and resistant second-order functional data analysis
• Two Samples Tests for Functional Data
• Testing the Equality of Covariance Operators in Functional Samples
• Estimation of the Mean of Functional Time Series and a Two-Sample Problem
• Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles

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