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Guangjun Shen
Observed names:
Guang Jun Shen,
Shen, Guangjun
Institution:
Anhui Normal University
Observed institution:
Anhui Normal University
ORCID:
0009-0002-2846-4125
Observed ORCID:
0009-0002-2846-4125
OpenAlex ID:
A5061277573
Parameter Estimation for the Discretely Observed Vasicek Model with Small Fractional Lévy Noise
2020
·
Guang Jun Shen
, Qing Bo Wang
, et al.
·
Acta Mathematica Sinica English Series
·
7
Mckean–Vlasov stochastic functional differential equations with common noise driven by fractional Brownian motions
2026
·
Jiangpeng Wang
, Guangjun Shen
, et al.
·
Chaos Solitons & Fractals
·
1
McKean–Vlasov Stochastic Differential Equations Driven by Fractional Stable Processes: Well-Posedness, Propagation of Chaos, Averaging Principle
2026
·
Guangjun Shen
, Qian Yu
·
Journal of Theoretical Probability
·
1
Derivatives of Intersection Local Time for Two Independent Symmetric α-stable Processes
2023
·
Huan Zhou
, Guang Jun Shen
, et al.
·
Acta Mathematica Sinica English Series
·
1
Central limit theorem for distribution dependent SDEs with multiplicative fractional noise
2026
·
Jin Qian
, Guangjun Shen
·
Statistics & Probability Letters
Asymptotic behaviors for distribution dependent stochastic partial differential equations driven by fractional Brownian motion
2026
·
Huan Zhou
, Guangjun Shen
·
Fractional Calculus and Applied Analysis
Euler-Maruyama method for distribution dependent stochastic differential equation driven by multiplicative fractional Brownian motion
2025
·
Shen, Guangjun
, Wang, Jiangpeng
, et al.
·
arXiv (Cornell University)
PDF
Large and Moderate Deviation Principles for Path-Distribution Dependent SDEs Driven by Mixed Fractional Brownian Motion
2025
·
Guangjun Shen
, Huan Zhou
, et al.
·
Acta Mathematica Sinica English Series
Least squares estimation for path-distribution dependent stochastic differential equations driven by fractional Brownian motions associated with the interacting particle systems
2025
·
Huan Zhou
, Guangjun Shen
·
Brazilian Journal of Probability and Statistics
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Works count:
9
Citation count:
10
H-index:
1
I10-index:
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