Invariance principles for fractionally integrated nonlinear processes

dc.creatorWu, Wei Biao
dc.creatorShao, Xiaofeng
dc.date2006-08-09
dc.date2006-11-23
dc.date.accessioned2026-07-07T08:08:06Z
dc.date.available2026-07-07T08:08:06Z
dc.descriptionWe obtain invariance principles for a wide class of fractionally integrated nonlinear processes. The limiting distributions are shown to be fractional Brownian motions. Under very mild conditions, we extend earlier ones on long memory linear processes to a more general setting. The invariance principles are applied to the popular R/S and KPSS tests.
dc.descriptionPublished at http://dx.doi.org/10.1214/074921706000000572 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0608223
dc.identifierhttp://arxiv.org/abs/math/0608223
dc.identifierIMS Lecture Notes--Monograph Series 2006, Vol. 50, 20-30
dc.identifierdoi:10.1214/074921706000000572
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131145
dc.subjectProbability
dc.subjectStatistics Theory
dc.subject60F17 (Primary) 62M10 (Secondary)
dc.titleInvariance principles for fractionally integrated nonlinear processes
dc.typetext

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