ESAIM Probability and Statistics · 2008 · 217 citations · 33 references
EngineeringMathematicsDynamical SystemsProbability TheoryStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesDiffusion ProcessesStationary ProcessesStochastic CalculusStochastic Differential EquationsBrownian Motion AnalysisCentral Limit TheoremsItô CalculusItô IntegralMalliavin CalculusMartingale RepresentationStationary IncrementsStochastic Integrals
We analyze the Rosenblatt process which is a selfsimilar process with stationary increments and which appears as limit in the so-called Non Central Limit Theorem (Dobrushin and Majòr (1979), Taqqu (1979)). This process is non-Gaussian and it lives in the second Wiener chaos. We give its representation as a Wiener-Itô multiple integral with respect to the Brownian motion on a finite interval and we develop a stochastic calculus with respect to it by using both pathwise type calculus and Malliavin calculus.
33
Stochastic Analysis of the Fractional Brownian Motion
Laurent Decreusefond, Ali Süleyman Üstünel · Potential Analysis · 1999 · 770 citations
Engineering, Mathematics, Physics +14
Stochastic Calculus with Respect to Gaussian Processes
Elisa Alòs, Olivier Mazet, David Nualart · The Annals of Probability · 2001 · 551 citations · Full text
Engineering, Mathematics, Physics +11
Fractional Ornstein-Uhlenbeck processes
Patrick Cheridito, Hideyuki Kawaguchi, Makoto Maejima · Electronic Journal of Probability · 2003 · 422 citations · Full text
Engineering, Mathematics, Physics +13