Cargando…
Large deviation principle for the mean reflected stochastic differential equation with jumps
In this paper, we establish a large deviation principle for a mean reflected stochastic differential equation driven by both Brownian motion and Poisson random measure. The weak convergence method plays an important role.
Autor principal: | Li, Yumeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208623/ https://www.ncbi.nlm.nih.gov/pubmed/30839793 http://dx.doi.org/10.1186/s13660-018-1889-2 |
Ejemplares similares
-
Numerical Solution of Stochastic Differential Equations with Jumps in Finance
por: Platen, Eckhard, et al.
Publicado: (2010) -
Backward stochastic differential equations with jumps and their actuarial and financial applications: BSDEs with jumps
por: Delong, Łukasz
Publicado: (2013) -
Large deviations for stochastic processes
por: Feng, Jin, et al.
Publicado: (2014) -
Large Deviations for Nonlocal Stochastic Neural Fields
por: Kuehn, Christian, et al.
Publicado: (2014) -
Theory of stochastic differential equations with jumps and applications: mathematical and analytical techniques with applications to engineering
por: SITU, Rong
Publicado: (2005)