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Stochastic Analysis with Financial ApplicationsApproximation Theorem for Stochastic Differential Equations Driven by G-Brownian Motion

Stochastic Analysis with Financial Applications: Approximation Theorem for Stochastic... [We present an approximation theorem for stochastic differential equations driven by G-Brownian motion, i.e., solutions of stochastic differential equations driven by G-Brownian motion can be approximated by solutions of ordinary differential equations.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Stochastic Analysis with Financial ApplicationsApproximation Theorem for Stochastic Differential Equations Driven by G-Brownian Motion

Part of the Progress in Probability Book Series (volume 65)
Editors: Kohatsu-Higa, Arturo; Privault, Nicolas; Sheu, Shuenn-Jyi

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References (13)

Publisher
Springer Basel
Copyright
© Springer Basel AG 2011
ISBN
978-3-0348-0096-9
Pages
73 –81
DOI
10.1007/978-3-0348-0097-6_6
Publisher site
See Chapter on Publisher Site

Abstract

[We present an approximation theorem for stochastic differential equations driven by G-Brownian motion, i.e., solutions of stochastic differential equations driven by G-Brownian motion can be approximated by solutions of ordinary differential equations.]

Published: Jul 12, 2011

Keywords: G-Brownian motion; G-expectation; stochastic differential equations; approximation theorem

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