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An Itô formula for a fractional Brownian sheet with arbitrary Hurst parameters
Author(s):
Yoon
Tae
Kim;
Jong Woo
Jeon
Journal:
Proc. Amer. Math. Soc.
134
(2006),
3677-3683.
MSC (2000):
Primary 60H07;
Secondary 60G18
Posted:
June 9, 2006
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Abstract:
By using the white noise theory for a fractional Brownian sheet, we derive an Itô formula for the fractional Brownian sheet with arbitrary Hurst parameters .
References:
-
- 1.
- Bender, C. (2003), ``An Itô formula for generalized functionals of a fractional Brownian motion with arbitrary Hurst parameter", Stochastic Process. Appl., 104, 81-106. MR 1956473 (2003m:60137)
- 2.
- Biagini, F., Øksendal, B., Sulem, A. and Wallner, N. (2004), ``An introduction to white noise theory and Malliavin calculus for fractional Brownian motion", Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci., 460, 347-372.MR 2052267 (2005a:60107)
- 3.
- Elliott, R. J. and Van der Hoek, J., (2003) ``A general fractional white noise theory and applications to finance", Math. Finance, 13,
no. 2, 301-339.MR 1967778 (2003m:91077) - 4.
- Hu, Y., Øksendal, B. and Zhang, T. (2004). ``General fractional multiparameter white noise theory and stochastic partial differential equations", Comm. Partial Differential Equations, 29, no. 1-2, 1-23.MR 2038141 (2005b:60174)
- 5.
- Tudor, C.A. and Viens, F.G. (2003). `` Itô formula and local time for the fractional Brownian sheet", Electron J. of Probab., 8, no. 14, 1-31.MR 1998763 (2004f:60124)
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Additional Information:
Yoon
Tae
Kim
Affiliation:
Department of Statistics, Hallym University, Chuncheon, Kangwon-do 200-702, South Korea
Email:
ytkim@hallym.ac.kr
Jong Woo
Jeon
Affiliation:
Department of Statistics, Seoul National University, Shilim-dong, Kwanak-gu, Seoul 151-742, South Korea
Email:
jwjeon@plaza.snu.ac.kr
DOI:
10.1090/S0002-9939-06-08466-8
PII:
S 0002-9939(06)08466-8
Keywords:
Fractional Brownian sheet,
It\^o formula,
fractional white noise
Received by editor(s):
December 17, 2004
Received by editor(s) in revised form:
July 5, 2005
Posted:
June 9, 2006
Additional Notes:
This research was supported (in part) by KOSEF through the Statistical Research Center for Complex Systems at Seoul National University, by KOSEF Grant R05-2004-000-11516-0, and by a research grant from Hallym University
Communicated by:
Richard C. Bradley
Copyright of article:
Copyright
2006,
American Mathematical Society
The copyright for this article reverts to public domain after 28 years from publication.
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