Adaptive confidence balls

dc.creatorCai, T. Tony
dc.creatorLow, Mark G.
dc.date2006-05-17
dc.date.accessioned2026-07-07T08:07:49Z
dc.date.available2026-07-07T08:07:49Z
dc.descriptionAdaptive confidence balls are constructed for individual resolution levels as well as the entire mean vector in a multiresolution framework. Finite sample lower bounds are given for the minimum expected squared radius for confidence balls with a prespecified confidence level. The confidence balls are centered on adaptive estimators based on special local block thresholding rules. The radius is derived from an analysis of the loss of this adaptive estimator. In addition adaptive honest confidence balls are constructed which have guaranteed coverage probability over all of $\mathbb{R}^N$ and expected squared radius adapting over a maximum range of Besov bodies.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000000146 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/0605462
dc.identifierhttp://arxiv.org/abs/math/0605462
dc.identifierAnnals of Statistics 2006, Vol. 34, No. 1, 202-228
dc.identifierdoi:10.1214/009053606000000146
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131057
dc.subjectStatistics Theory
dc.subject62G99 (Primary) 62F12, 62F35, 62M99 (Secondary)
dc.titleAdaptive confidence balls
dc.typetext

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