Forgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach

dc.creatorDouc, Randal
dc.creatorMoulines, Eric
dc.creatorRitov, Ya'Acov
dc.date2007-12-03
dc.date.accessioned2026-07-07T08:46:54Z
dc.date.available2026-07-07T08:46:54Z
dc.descriptionWe give simple conditions that ensure exponential forgetting of the initial conditions of the filter for general state-space hidden Markov chain. The proofs are based on the coupling argument applied to the posterior Markov kernels. These results are useful both for filtering hidden Markov models using approximation methods (e.g., particle filters) and for proving asymptotic properties of estimators. The results are general enough to cover models like the Gaussian state space model, without using the special structure that permits the application of the Kalman filter.
dc.description21
dc.identifierhttps://arxiv.org/abs/0712.0285
dc.identifierhttp://arxiv.org/abs/0712.0285
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/143413
dc.subjectStatistics Theory
dc.subject93E11, 60J57
dc.titleForgetting of the initial condition for the filter in general state-space hidden Markov chain: a coupling approach
dc.typetext

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