Anticipated BSDEs Driven by Fractional Brownian Motion with a Time-Delayed Generator
Author:
Affiliation:
1. Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
2. School of Mathematics and Statistics, Suzhou University, Suzhou 234000, China
Abstract
Funder
Scientific research projects in Anhui universities
Publisher
MDPI AG
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Link
https://www.mdpi.com/2227-7390/11/23/4845/pdf
Reference32 articles.
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2. A study on a new class of backward stochastic differential equation;He;Math. Probl. Eng.,2020
3. Abdelhadi, K., Eddahbi, M., Khelfallah, N., and Almualim, A. (2022). Backward stochastic differential equations driven by a jump Markov process with continuous and non-necessary continuous generators. Fractal Fract., 6.
4. Zhang, P., Ibrahim, A.I.N., and Mohamed, N.A. (2022). Backward stochastic differential equations (BSDEs) Using infinite-dimensional martingales with subdifferential operator. Axioms, 11.
5. Backward stochastic differential equations;Pardoux;Stochastic Differential Equations, Backward SDEs, Partial Differential Equations,2014
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