One-dimensional linear recursions with Markov-dependent coefficients

dc.creatorRoitershtein, Alexander
dc.date2004-09-19
dc.date2007-04-03
dc.date.accessioned2026-07-07T07:54:53Z
dc.date.available2026-07-07T07:54:53Z
dc.descriptionFor a class of stationary Markov-dependent sequences $(A_n,B_n)\in\mathbb{R}^2,$ we consider the random linear recursion $S_n=A_n+B_nS_{n-1},$ $n\in\mathbb{Z},$ and show that the distribution tail of its stationary solution has a power law decay.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051606000000844 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0409335
dc.identifierhttp://arxiv.org/abs/math/0409335
dc.identifierAnnals of Applied Probability 2007, Vol. 17, No. 2, 572-608
dc.identifierdoi:10.1214/105051606000000844
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/126782
dc.subjectProbability
dc.subject60K15 (Primary) 60K20 (Secondary)
dc.titleOne-dimensional linear recursions with Markov-dependent coefficients
dc.typetext

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