百晓学者学者目录

徐杰

副教授,河南师范大学

精选作品

期刊论文

2024

Maximum likelihood estimation for small noise multi-scale McKean-Vlasov stochastic differential equations

Jie Xu, Qiao Zheng, Jianyong Mu

Bernoulli

2023

A Strong Convergence Rate of the Averaging Principle for Two-Time-Scale Forward-Backward Stochastic Differential Equations

Jie Xu, Qiqi Lian

Journal of Theoretical Probability

2023

A Strong Averaging Principle Rate for Two-Time-Scale Coupled Forward–Backward Stochastic Differential Equations Driven by Fractional Brownian Motion

Jie Xu, Qiqi Lian, Jiang-Lun Wu

Applied Mathematics & Optimization

2023

A deviation inequality for increment of a G -Brownian motion under G -expectation and applications

Jie Xu

Statistics & Probability Letters

2023

A moderate deviation principle for stochastic Hamiltonian systems

Jie Xu, Jiayin Gong, Jie Ren

ESAIM Probability and Statistics

2022

非Lipschitz条件下超前带跳倒向耦合随机微分方程的Wong-Zakai逼近

徐杰,孙艳华

《数学物理学报》

2022

Wong–Zakai approximations and support theorems for stochastic McKean–Vlasov equations

Jie Xu, Jiayin Gong

Forum Mathematicum

2022

Strong convergence rate of the averaging principle for a class of slow–fast stochastic evolution equations

Jie Xu, Qiqi Lian, Jicheng Liu

Stochastics

2022

A Support Theorem for Stochastic Differential Equations Driven by a Fractional Brownian Motion

Jie Xu, Yanhua Sun, Jie Ren

Journal of Theoretical Probability

2022

An averaging principle for slow–fast fractional stochastic parabolic equations on unbounded domains

Jie Xu

Stochastic Processes and their Applications

2021

Strong Averaging Principle for Two-Time-Scale Stochastic McKean-Vlasov Equations

Jie Xu, Juanfang Liu, Jicheng Liu, Yu Miao

Applied Mathematics & Optimization

2020

Stochastic averaging principle for two-time-scale jump-diffusion SDEs under the non-Lipschitz coefficients

Jie Xu, Jicheng Liu

Stochastics

2020

Homeomorphism flows for SDEs driven by G-Brownian motion with non-Lipschitz coefficients

Juanfang Liu, Yu Miao, Jianyong Mu, Jie Xu

Stochastics and Dynamics

2020

Central limit theorems on compact metric spaces

S. Rosenberg, Jie Xu

Electronic Communications in Probability

2019

The non-Markovian property of q -Gaussian process

Limin Liu, Ying-Ying Cui, Jie Xu, Chao Li, Qinghui Gao

Computers & Mathematics with Applications

2019

Stochastic flows of SDEs with non-Lipschitz coefficients and singular time

Jie Xu, Jiaping Wen, Jianyong Mu, Jicheng Liu

Statistics & Probability Letters

2018

Strong averaging principle for two-time-scale SDEs with non-Lipschitz coefficients

Jie Xu, Jicheng Liu, Yu Miao

Journal of Mathematical Analysis and Applications

2018

Support Theorem for Stochastic Differential Equations with Sobolev Coefficients

Jie Ren, Jie Xu

Potential Analysis

2016

Complete convergence for weighted sums of mixingale sequences and statistical applications

Lin Zhang, Yu Miao, Jianyong Mu, Jie Xu

Communication in Statistics- Theory and Methods

2016

Strong averaging principle for two-time-scale non-autonomous stochastic FitzHugh-Nagumo system with jumps

Jie Xu, Yu Miao, Jicheng Liu

Journal of Mathematical Physics

2016

An analogue for Marcinkiewicz–Zygmund strong law of negatively associated random variables

Yu Miao, Jianyong Mu, Jie Xu

Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas

2016

L-strong convergence of the averaging principle for slow–fast SPDEs with jumps

Jie Xu

Journal of Mathematical Analysis and Applications

2015

A note on strong convergence rate in averaging principle for stochastic FitzHugh–Nagumo system with two time-scales

Jie Xu, Yu Miao, Jicheng Liu

Stochastic Analysis and Applications

2015

Quasi-sure functional limit theorem for increments of a fractional Brownian sheet in Hölder norm

Jie Xu, Yu Miao, Jicheng Liu

Communication in Statistics- Theory and Methods

2015

Quasi sure functional modulus of continuity for a two-parameter Wiener process in Hölder norm

Jie Xu

Journal of Mathematical Analysis and Applications

2015

L p ( p > 2 ) -strong convergence of an averaging principle for two-time-scales jump-diffusion stochastic differential equations

Jie Xu, Yu Miao

Nonlinear Analysis Hybrid Systems

2015

Quasi sure large deviation for increments of fractional Brownian motion in Hölder norm

Jie Xu, Yun Min Zhu, Ji Cheng Liu

Acta Mathematica Sinica English Series

2015

Strong averaging principle for slow-fast SPDEs with Poisson random measures

Jie Xu, Y. Miao, Ji-Cheng Liu

2014

An Averaging Principle for Multivalued Stochastic Differential Equations

Jie Xu, Jicheng Liu

Stochastic Analysis and Applications

2012

Uniqueness and explosion time of solutions of stochastic differential equations driven by fractional Brownian motion

Jie Xu, Yu-Nan Zhu, Ji-Cheng Liu

Acta Mathematica Sinica. English series

2009

分数布朗运动驱动的随机微分方程解的唯一性和爆破时

徐杰

《华中科技大学》

预印本

2026

Edmunds-Evans essential spectra of the generalized Constantin-Lax-Majda linearization

Jie Xu

arXiv preprint

2026

The spectral picture of self-similar collapse in the Constantin-Lax-Majda equation

Jie Xu

arXiv preprint

2025

Numerical approximations to invariant measures of hybrid stochastic differential equations with superlinear coefficients via the backward Euler-Maruyama method

Wei Liu, Jie Xu

arXiv preprint

2024

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM

Jie Xu, Guanyu Huang, Wenlu Yu, Xuanxuan Zhang, Lijun Zhao, Ruifeng Li, Shenghai Yuan, Lihua Xie

arXiv preprint

2023

Quotients of exact categories by pseudo-cluster tilting subcategories

Jie Xu, Yuefei Zheng

arXiv preprint

2023

Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains

Trevor Norton, Jie Xu, Brian Choi, Mark Kon, Julio Enrique Castrillón-Candás

arXiv preprint

2023

Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation

Brian Choi, Jie Xu, Trevor Norton, Mark Kon, Julio Enrique Castrillon-Candas

arXiv preprint

此主页由公开资料整理,尚未经学者本人认领。