Estimating drift parameters in a fractional Ornstein Uhlenbeck process with periodic mean

dc.contributor.authorDehling, Herold
dc.contributor.authorFranke, Brice
dc.contributor.authorWoerner, Jeannette H.C.
dc.date.accessioned2015-10-07T12:54:29Z
dc.date.available2015-10-07T12:54:29Z
dc.date.issued2015-09-09
dc.description.abstractWe construct a least squares estimator for the drift parameters of a fractional Ornstein Uhlenbeck process with periodic mean function and long range dependence. For this estimator we prove consistency and asymptotic normality. In contrast to the classical fractional Ornstein Uhlenbeck process without periodic mean function the rate of conver- gence is slower depending on the Hurst parameter H, namely n1-H.en
dc.identifier.urihttp://hdl.handle.net/2003/34260
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16337
dc.language.isoen
dc.subjectfractional Ornstein Uhlenbeck processen
dc.subjectlong range dependenceen
dc.subjectperiodic mean functionen
dc.subjectleast squares estimatoren
dc.subject.ddc610
dc.titleEstimating drift parameters in a fractional Ornstein Uhlenbeck process with periodic meanen
dc.typeTextde
dc.type.publicationtypepreprinten
dcterms.accessRightsopen access
eldorado.dnb.depositfalsede

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