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20182021
most citedWeak convergence of path-dependent SDEs driven by fractional Brownian motion with irregular coefficients

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

math.PR2021

Distribution dependent SDEs driven by fractional Brownian motions

Xiliang Fan, Xing Huang, Yongqiang Suo +1

In this paper we study a class of distribution dependent stochastic differential equations driven by fractional Brownian motions with Hurst parameter H\in(1/2,1). We prove the well…

math.PR2021

Estimate of Heat Kernel for Euler-Maruyama Scheme of SDEs Driven by α-Stable Noise and Applications

Xing Huang, Yongqiang Suo, Chenggui Yuan

In this paper, the discrete parameter expansion is adopted to investigate the estimation of heat kernel for Euler-Maruyama scheme of SDEs driven by α-stable noise, which implies kr…

math.PR2020

TCI for SDEs with irregular drifts

Yongqiang Suo, Chenggui Yuan, Shao-Qin Zhang

We obtain for stochastic differential equations with Dini continuous drift and stochastic differential equations with singular coefficients.

math.PR2020★ 2 cited

Weak convergence of Euler scheme for SDEs with singular drift

Yongqiang Suo, Chenggui Yuan, Shao-Qin Zhang

In this paper, we investigate the weak convergence rate of Euler-Maruyama's approximation for stochastic differential equations with irregular drifts. Explicit weak convergence rat…

math.PR2019★ 1 cited

CLT and MDP for McKean-Vlasov SDEs

Yongqiang Suo, Chenggui Yuan

Under a Lipschitz condition on distribution dependent coefficients, the central limit theorem and the moderate deviation principle are obtained for solutions of McKean-Vlasov type…

math.PR2019★ 2 cited

Weak convergence of path-dependent SDEs driven by fractional Brownian motion with irregular coefficients

Yongqiang Suo, Chenggui Yuan, shaoqin Zhang

In this paper, by using Girsanov's transformation and the property of the corresponding reference stochastic differential equations, we investigate weak existence and uniqueness of…

math.PR2019

Large deviations for neutral stochastic functional differential equations

Yongqiang Suo, Chenggui Yuan

In this paper, under a one-sided Lipschitz condition on the drift coefficient we adopt (via contraction principle) a exponential approximation argument to investigate large deviati…

math.PR2018

Moderate deviation and central limit theorem for SDDEs with plynomial growth

Yongqiang Suo, Jin Tao, Wei Zhang

In this paper, employing the weak convergence method, based on a variational representation for expected values of positive functionals of a Brownian motion, we investigate moderat…