On the auxiliary particle filter

dc.creatorDouc, Randal
dc.creatorMoulines, Eric
dc.creatorOlsson, Jimmy
dc.date2007-09-21
dc.date.accessioned2026-07-07T08:31:31Z
dc.date.available2026-07-07T08:31:31Z
dc.descriptionIn this article we study asymptotic properties of weighted samples produced by the auxiliary particle filter (APF) proposed by pitt and shephard (1999). Besides establishing a central limit theorem (CLT) for smoothed particle estimates, we also derive bounds on the Lp error and bias of the same for a finite particle sample size. By examining the recursive formula for the asymptotic variance of the CLT we identify first-stage importance weights for which the increase of asymptotic variance at a single iteration of the algorithm is minimal. In the light of these findings, we discuss and demonstrate on several examples how the APF algorithm can be improved.
dc.description26 pages
dc.identifierhttps://arxiv.org/abs/0709.3448
dc.identifierhttp://arxiv.org/abs/0709.3448
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138522
dc.subjectStatistics Theory
dc.subjectPrimary 65C05; Secondary 65C60
dc.titleOn the auxiliary particle filter
dc.typetext

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