Conditioning by rare sources

dc.creatorGrendar, M.
dc.date2006-01-03
dc.date2007-01-12
dc.date.accessioned2026-07-07T08:07:26Z
dc.date.available2026-07-07T08:07:26Z
dc.descriptionIn this paper we study the exponential decay of posterior probability of a set of sources and conditioning by rare sources for both uniform and general prior distributions of sources. The decay rate is determined by $L$-divergence and rare sources from a convex, closed set asymptotically conditionally concentrate on an $L$-projection. $L$-projection on a linear family of sources belongs to $\varLambda$-family of distributions. The results parallel those of Large Deviations for Empirical Measures (Sanov's Theorem and Conditional Limit Theorem).
dc.descriptionIdentical with version 1. Replaced by an error
dc.identifierhttps://arxiv.org/abs/math/0601048
dc.identifierhttp://arxiv.org/abs/math/0601048
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130942
dc.subjectStatistics Theory
dc.subjectProbability
dc.subject60F10; 94A15
dc.titleConditioning by rare sources
dc.typetext

Files

Collections