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dc.contributor.authorHarang, Fabian Andsem
dc.contributor.authorWang, Xiaohua
dc.contributor.authorTindel, Samy
dc.date.accessioned2023-06-20T12:15:43Z
dc.date.available2023-06-20T12:15:43Z
dc.date.created2023-05-15T08:25:02Z
dc.date.issued2023
dc.identifier.issn0894-9840
dc.identifier.urihttps://hdl.handle.net/11250/3072301
dc.description.abstractBased on the recent development of the framework of Volterra rough paths (Harang and Tindel in Stoch Process Appl 142:34–78, 2021), we consider here the probabilistic construction of the Volterra rough path associated to the fractional Brownian motion with H>12 and for the standard Brownian motion. The Volterra kernel k(t, s) is allowed to be singular, and behaving similar to |t−s|−γ for some γ≥0 . The construction is done in both the Stratonovich and Itô senses. It is based on a modified Garsia–Rodemich–Romsey lemma which is of interest in its own right, as well as tools from Malliavin calculus. A discussion of challenges and potential extensions is provideden_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectVolterra equationen_US
dc.subjectSignatureen_US
dc.subjectRough pathen_US
dc.subjectMalliavin calculusen_US
dc.subjectFractional Brownian motionen_US
dc.titleVolterra Equations Driven by Rough Signals 3: Probabilistic Construction of the Volterra Rough Path for Fractional Brownian Motionsen_US
dc.title.alternativeVolterra Equations Driven by Rough Signals 3: Probabilistic Construction of the Volterra Rough Path for Fractional Brownian Motionsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalJournal of theoretical probabilityen_US
dc.identifier.doi10.1007/s10959-023-01251-y
dc.identifier.cristin2147397
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal