Approximation properties for solutions to non‐Lipschitz stochastic differential equations with Lévy noise
By Yong Xu, Bin Pei, Yongge Li. 2015
66 citations recorded by the source corpus.
Subfields: Applied Mathematics, Finance, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/c79837271e685d0be0f5b7ed80b5daca41b71623
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Citations in the corpus
- Stochastic averaging principle for differential equations with non-Lipschitz coefficients driven by fractional Brownian motion (2017, background): “Up to now, there are only a few results on the stochastic averaging of nonLipschitz SDEs [25] and most of the papers concentrated on the case of the Lipschitz condition.”
- Two-time-scales hyperbolic–parabolic equations driven by Poisson random measures: Existence, uniqueness and averaging principles (2017, background): “There is an extensive literature on averaging principles for stochastic differential equations, see for example, Freidlin and Wentzell [14], Khasminskii [21], Duan [12], Thompson [26], Xu and his co-workers [28, 29, 30, 31, 32].”