The asymptotic error of chaos expansion approximations for stochastic differential equations
In this paper we present a numerical scheme for stochastic differential equations based upon the Wiener chaos expansion. The approximation of a square integrable stochastic differential equation is obtained by cutting off the infinite chaos expansion in chaos order and in number of basis elements. W...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
23 April 2019
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| In: |
Modern stochastics: theory and applications
Year: 2019, Volume: 6, Issue: 2, Pages: 145-165 |
| ISSN: | 2351-6054 |
| DOI: | 10.15559/19-VMSTA133 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.15559/19-VMSTA133 Verlag, lizenzpflichtig, Volltext: https://www.vmsta.org/journal/VMSTA/article/155 
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| Author Notes: | Tony Huschto, Mark Podolskij, Sebastian Sager |
| Summary: | In this paper we present a numerical scheme for stochastic differential equations based upon the Wiener chaos expansion. The approximation of a square integrable stochastic differential equation is obtained by cutting off the infinite chaos expansion in chaos order and in number of basis elements. We derive an explicit upper bound for the ${L^{2}}$ approximation error associated with our method. The proofs are based upon an application of Malliavin calculus. |
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| Item Description: | Gesehen am 19.06.2020 |
| Physical Description: | Online Resource |
| ISSN: | 2351-6054 |
| DOI: | 10.15559/19-VMSTA133 |