Nonquadratic estimators of a quadratic functional

dc.creatorCai, T. Tony
dc.creatorLow, Mark G.
dc.date2006-03-06
dc.date.accessioned2026-07-07T08:07:38Z
dc.date.available2026-07-07T08:07:38Z
dc.descriptionEstimation of a quadratic functional over parameter spaces that are not quadratically convex is considered. It is shown, in contrast to the theory for quadratically convex parameter spaces, that optimal quadratic rules are often rate suboptimal. In such cases minimax rate optimal procedures are constructed based on local thresholding. These nonquadratic procedures are sometimes fully efficient even when optimal quadratic rules have slow rates of convergence. Moreover, it is shown that when estimating a quadratic functional nonquadratic procedures may exhibit different elbow phenomena than quadratic procedures.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053605000000147 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/math/0603134
dc.identifierhttp://arxiv.org/abs/math/0603134
dc.identifierAnnals of Statistics 2005, Vol. 33, No. 6, 2930-2956
dc.identifierdoi:10.1214/009053605000000147
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130999
dc.subjectStatistics Theory
dc.subject62G99 (Primary) 62F12, 62F35, 62M99 (Secondary)
dc.titleNonquadratic estimators of a quadratic functional
dc.typetext

Files

Collections