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dc.date.accessioned2021-04-07T19:06:43Z
dc.date.available2021-05-28T22:45:47Z
dc.date.created2020-09-30T11:12:07Z
dc.date.issued2020
dc.identifier.citationAmine, Oussama Baños, David Proske, Frank Norbert . Regularity properties of the stochastic flow of a skew fractional Brownian motion. Infinite Dimensional Analysis Quantum Probability and Related Topics. 2020, 23(1)
dc.identifier.urihttp://hdl.handle.net/10852/85078
dc.description.abstractIn this paper we prove, for small Hurst parameters, the higher-order differentiability of a stochastic flow associated with a stochastic differential equation driven by an additive multi-dimensional fractional Brownian noise, where the bounded variation part is given by the local time of the unknown solution process. The proof of this result relies on Fourier analysis-based variational calculus techniques and on intrinsic properties of the fractional Brownian motion.
dc.languageEN
dc.titleRegularity properties of the stochastic flow of a skew fractional Brownian motion
dc.typeJournal article
dc.creator.authorAmine, Oussama
dc.creator.authorBaños, David
dc.creator.authorProske, Frank Norbert
cristin.unitcode185,15,13,0
cristin.unitnameMatematisk institutt
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1835415
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Infinite Dimensional Analysis Quantum Probability and Related Topics&rft.volume=23&rft.spage=&rft.date=2020
dc.identifier.jtitleInfinite Dimensional Analysis Quantum Probability and Related Topics
dc.identifier.volume23
dc.identifier.issue01
dc.identifier.doihttps://doi.org/10.1142/S0219025720500058
dc.identifier.urnURN:NBN:no-87948
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0219-0257
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/85078/2/Flow.pdf
dc.type.versionAcceptedVersion
cristin.articleid2050005
dc.relation.projectNFR/274410


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