Testing for change points in time series models and limiting theorems for NED sequences

dc.creatorLing, Shiqing
dc.date2007-08-17
dc.date.accessioned2026-07-07T08:24:39Z
dc.date.available2026-07-07T08:24:39Z
dc.descriptionThis paper first establishes a strong law of large numbers and a strong invariance principle for forward and backward sums of near-epoch dependent sequences. Using these limiting theorems, we develop a general asymptotic theory on the Wald test for change points in a general class of time series models under the no change-point hypothesis. As an application, we verify our assumptions for the long-memory fractional ARIMA model.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000001514 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0708.2369
dc.identifierhttp://arxiv.org/abs/0708.2369
dc.identifierAnnals of Statistics 2007, Vol. 35, No. 3, 1213-1237
dc.identifierdoi:10.1214/009053606000001514
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136409
dc.subjectStatistics Theory
dc.subject62F05, 62M10 (Primary); 60G10 (Secondary)
dc.titleTesting for change points in time series models and limiting theorems for NED sequences
dc.typetext

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