Stochastic Differentiation - A Generalized Approach
Document Type
Article
Publication Date
9-1-2000
Department
Mathematics
Abstract
The space (D*) of Wiener distributions allows a natural Pettis-type stochastic calculus. For a certain class of generalized multiparameter processes X: R N →(D*) we prove several differentiation rules (Itô formulas); these processes can be anticipating. We then apply these rules to some examples of square integrable Wiener functionals and look at the integral versions of the resulting formulas.
Publication Title
Acta Applicandae Mathematicae
Volume
63
Issue
1-3
First Page
349
Last Page
361
Recommended Citation
Redfern, M.
(2000). Stochastic Differentiation - A Generalized Approach. Acta Applicandae Mathematicae, 63(1-3), 349-361.
Available at: https://aquila.usm.edu/fac_pubs/4120