Some extensions of fractional Brownian motion and sub-fractional Brownian motion related to particle systems.
Bojdecki, Tomasz, Gorostiza, Luis G., Talarczyk, Anna (2007)
Electronic Communications in Probability [electronic only]
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Bojdecki, Tomasz, Gorostiza, Luis G., Talarczyk, Anna (2007)
Electronic Communications in Probability [electronic only]
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Aurzada, Frank, Lifshits, Mikhail (2009)
Electronic Journal of Probability [electronic only]
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Kleptsyna, M.L., Kloeden, P.E., Anh, V.V. (1999)
Journal of Applied Mathematics and Stochastic Analysis
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Carmona, Philippe, Coutin, Laure (1998)
Electronic Communications in Probability [electronic only]
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Zili, Mounir (2006)
Journal of Applied Mathematics and Stochastic Analysis
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Dai, W., Heyde, C.C. (1996)
Journal of Applied Mathematics and Stochastic Analysis
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David Nualart (2006)
Annales de la faculté des sciences de Toulouse Mathématiques
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Fractional Brownian motion (fBm) is a centered self-similar Gaussian process with stationary increments, which depends on a parameter called the Hurst index. In this conference we will survey some recent advances in the stochastic calculus with respect to fBm. In the particular case , the process is an ordinary Brownian motion, but otherwise it is not a semimartingale and Itô calculus cannot be used. Different approaches have been introduced to construct stochastic integrals with...
David Nualart, Aurel Rascanu (2002)
Collectanea Mathematica
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A global existence and uniqueness result of the solution for multidimensional, time dependent, stochastic differential equations driven by a fractional Brownian motion with Hurst parameter H > 1/2 is proved. It is shown, also, that the solution has finite moments. The result is based on a deterministic existence and uniqueness theorem whose proof uses a contraction principle and a priori estimates.
Baudoin, Fabrice, Coutin, Laure (2008)
Electronic Journal of Probability [electronic only]
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Boufoussi, Brahim, Ouknine, Youssef (2003)
Electronic Communications in Probability [electronic only]
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Constantin Tudor, Maria Tudor (2007)
Open Mathematics
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Laure Coutin, Monique Pontier (2007)
ESAIM: Probability and Statistics
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A stochastic “Fubini” lemma and an approximation theorem for integrals on the plane are used to produce a simulation algorithm for an anisotropic fractional Brownian sheet. The convergence rate is given. These results are valuable for any value of the Hurst parameters Finally, the approximation process is iterative on the quarter plane A sample of such simulations can be used to test estimators of the parameters = 1,2.