Strong approximation of solutions of stochastic differential equations with time-irregular coefficients via randomized Euler algorithm
✍ Scribed by Przybyłowicz, Paweł; Morkisz, Paweł
- Book ID
- 122164931
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 454 KB
- Volume
- 78
- Category
- Article
- ISSN
- 0168-9274
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
The subject of this paper is the analytic approximation method for solving stochastic differential equations with time-dependent delay. Approximate equations are defined on equidistant partitions of the time interval, and their coefficients are Taylor approximations of the coefficients of the initia
In financial and actuarial modeling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Wiener processes, descri