Asymptotic data analysis on manifolds

dc.creatorHendriks, Harrie
dc.creatorLandsman, Zinoviy
dc.date2007-08-03
dc.date.accessioned2026-07-07T08:22:12Z
dc.date.available2026-07-07T08:22:12Z
dc.descriptionGiven an m-dimensional compact submanifold $\mathbf{M}$ of Euclidean space $\mathbf{R}^s$, the concept of mean location of a distribution, related to mean or expected vector, is generalized to more general $\mathbf{R}^s$-valued functionals including median location, which is derived from the spatial median. The asymptotic statistical inference for general functionals of distributions on such submanifolds is elaborated. Convergence properties are studied in relation to the behavior of the underlying distributions with respect to the cutlocus. An application is given in the context of independent, but not identically distributed, samples, in particular, to a multisample setup.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000000993 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0708.0474
dc.identifierhttp://arxiv.org/abs/0708.0474
dc.identifierAnnals of Statistics 2007, Vol. 35, No. 1, 109-131
dc.identifierdoi:10.1214/009053606000000993
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/135572
dc.subjectStatistics Theory
dc.subject62H11 (Primary) 62G10, 62G15, 53A07 (Secondary)
dc.titleAsymptotic data analysis on manifolds
dc.typetext

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