Testing equality between several populations covariance operators

DOI10.1007/s10463-017-0613-1zbMath1398.62142arXiv1404.7080OpenAlexW2557057724MaRDI QIDQ1656868

Mariela Sued, Daniela Rodriguez, Graciela Boente

Publication date: 10 August 2018

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1404.7080

zbMATH Keywords

asymptotic distributionlocal alternativesfunctional data analysisbootstrap calibrationcovariance operators

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Asymptotic distribution theory in statistics (62E20) Hypothesis testing in multivariate analysis (62H15)

Related Items (9)

Detecting relevant differences in the covariance operators of functional time series: a sup-norm approach ⋮ Asymptotic normality of a generalized maximum mean discrepancy estimator ⋮ Testing equality between several populations covariance operators ⋮ Kernel based method for the k-sample problem with functional data ⋮ A \(k\)-sample test for functional data based on generalized maximum mean discrepancy ⋮ The spatial sign covariance operator: asymptotic results and applications ⋮ Bootstrapping covariance operators of functional time series ⋮ Tests for proportionality of matrices with large dimension ⋮ Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes

Uses Software

• fda (R)

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