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dc.contributor.authorAlos, Elisa
dc.contributor.authorMazet, Olivier
dc.contributor.authorNualart, David
dc.date.accessioned2015-03-11T20:22:04Z
dc.date.available2015-03-11T20:22:04Z
dc.date.issued2001-12-05
dc.identifier.citationAlòs, Elisa ,1 2; and Mazet, Olivier; Nualart, David. Stochastic Calculus with Respect to Gaussian Processes. Ann. Probab. 29 (2001), no. 2, 766--801. http://dx.doi.org/10.1214/aop/1008956692.en_US
dc.identifier.urihttp://hdl.handle.net/1808/17052
dc.descriptionThis is the published version, also available here: http://dx.doi.org/10.1214/aop/1008956692.en_US
dc.description.abstractIn this paper we develop a stochastic calculus with respect to a Gaussian process of the form Bt=∫t0K(t,s)dWs, where W is a Wiener process and K(t,s) is a square integrable kernel, using the techniques of the stochastic calculus of variations. We deduce change-of-variable formulas for the indefinite integrals and we study the approximation by Riemann sums.The particular case of the fractional Brownian motion is discussed.en_US
dc.publisherInstitute of Mathematical Statisticsen_US
dc.subjectStochastic integralen_US
dc.subjectMalliavin calculusen_US
dc.subjectIto's formulaen_US
dc.subjectfractional Brownian motionen_US
dc.titleStochastic Calculus with Respect to Gaussian Processesen_US
dc.typeArticle
kusw.kuauthorNualart, David
kusw.kudepartmentMathematicsen_US
dc.identifier.doi10.1214/aop/1008956692
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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