The delta method for analytic functions of random operators with application to functional data

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dc.creatorCupidon, J.
dc.creatorGilliam, D. S.
dc.creatorEubank, R.
dc.creatorRuymgaart, F.
dc.date2007-11-28
dc.date.accessioned2026-07-07T08:45:45Z
dc.date.available2026-07-07T08:45:45Z
dc.descriptionIn this paper, the asymptotic distributions of estimators for the regularized functional canonical correlation and variates of the population are derived. The method is based on the possibility of expressing these regularized quantities as the maximum eigenvalue and the corresponding eigenfunctions of an associated pair of regularized operators, similar to the Euclidean case. The known weak convergence of the sample covariance operator, coupled with a delta-method for analytic functions of covariance operators, yields the weak convergence of the pair of associated operators. From the latter weak convergence, the limiting distributions of the canonical quantities of interest can be derived with the help of some further perturbation theory.
dc.descriptionPublished in at http://dx.doi.org/10.3150/07-BEJ6180 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/0711.4368
dc.identifierhttp://arxiv.org/abs/0711.4368
dc.identifierBernoulli 2007, Vol. 13, No. 4, 1179-1194
dc.identifierdoi:10.3150/07-BEJ6180
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/143059
dc.subjectStatistics Theory
dc.titleThe delta method for analytic functions of random operators with application to functional data
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