On posterior distribution of Bayesian wavelet thresholding

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dc.creatorLian, Heng
dc.date2007-09-21
dc.date.accessioned2026-07-07T08:31:22Z
dc.date.available2026-07-07T08:31:22Z
dc.descriptionWe investigate the posterior rate of convergence for wavelet shrinkage using a Bayesian approach in general Besov spaces. Instead of studying the Bayesian estimator related to a particular loss function, we focus on the posterior distribution itself from a nonparametric Bayesian asymptotics point of view and study its rate of convergence. We obtain the same rate as in \citet{abramovich04} where the authors studied the convergence of several Bayesian estimators.
dc.identifierhttps://arxiv.org/abs/0709.3339
dc.identifierhttp://arxiv.org/abs/0709.3339
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138486
dc.subjectStatistics Theory
dc.titleOn posterior distribution of Bayesian wavelet thresholding
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