Lower bounds for posterior rates with Gaussian process priors

dc.creatorCastillo, Ismaël
dc.date2008-07-17
dc.date2008-12-22
dc.date.accessioned2026-07-07T12:20:45Z
dc.date.available2026-07-07T12:20:45Z
dc.descriptionUpper bounds for rates of convergence of posterior distributions associated to Gaussian process priors are obtained by van der Vaart and van Zanten in [14] and expressed in terms of a concentration function involving the Reproducing Kernel Hilbert Space of the Gaussian prior. Here lower-bound counterparts are obtained. As a corollary, we obtain the precise rate of convergence of posteriors for Gaussian priors in various settings. Additionally, we extend the upper-bound results of [14] about Riemann-Liouville priors to a continuous family of parameters.
dc.descriptionPublished in at http://dx.doi.org/10.1214/08-EJS273 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0807.2734
dc.identifierhttp://arxiv.org/abs/0807.2734
dc.identifierElectronic Journal of Statistics 2008, Vol. 2, 1281-1299
dc.identifierdoi:10.1214/08-EJS273
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213157
dc.subjectStatistics Theory
dc.subject62G05, 62G20 (Primary)
dc.titleLower bounds for posterior rates with Gaussian process priors
dc.typetext

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