Junfeng Liu

Dr. Junfeng Liu


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Journal of Industrial and Management Optimization
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YYYang Yang
Yang Yang
KYKC Yuen
KC Yuen
JLJunfeng Liu
Junfeng Liu
Consider a bivariate Lévy-driven risk model in which the loss process of an insurance company and the investment return process are two independent Lévy processes. Under the assumptions that the loss process has a Lévy measure of consistent variation and the return process fulfills a certain condition, we investigate the asymptotic behavior of the finite-time ruin probability. Further, we derive two asymptotic formulas for the finite-time and infinite-time ruin probabilities in a single Lévy-driven risk model, in which the loss process is still a Lévy process, whereas the investment return process reduces to a deterministic linear function. In such a special model, we relax the loss process with jumps whose common distribution is long tailed and of dominated variation.

2 January 2019 in Nonlinear Differential Equations and Applications NoDEA
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JLJunfeng Liu
Junfeng Liu

24 February 2023 in Statistics & Probability Letters
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BZBin Zhang
Bin Zhang
ZYZhigang Yao
Zhigang Yao
JLJunfeng Liu
Junfeng Liu

1 January 2022 in AIMS Mathematics
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XZXiaodong Zhang
Xiaodong Zhang
JLJunfeng Liu
Junfeng Liu
This paper is concerned with a class of high-order fractional stochastic partial differential equations driven by fractional noise. We firstly prove the existence and uniqueness of the mild solution and then study the Hölder continuity of the solution with respect to space and time variables. In addition, we also prove the existence and Gaussian-type estimates for the density of the solution by using the techniques of Malliavin calculus.

10 January 2023 in Stochastics
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JLJunfeng Liu
Junfeng Liu
In this paper, we study the following nonlinear fractional stochastic partial differential equation ∂∂tu(t,x)=D(x,D)u(t,x)+g(u(t,x))∂2wρ∂t∂x(t,x),t≥0,x∈R, where D(x,D) denotes the Markovian generator of a stable-like Feller process with variable order and g(⋅):R→R is a measurable function. The forcing noise denoted by ∂2wρ∂t∂x(t,x) is a spatially inhomogeneous white noise. Under some assumptions on the catalytic measure of the inhomogeneous Brownian sheet wρ(t,x), we study the moment bounds for the solution. As a byproduct, we prove that the solution is weakly full intermittent based on the moment estimates of the solution. We also study the Hölder regularity of the solution with respect to the temporal and spatial variables, respectively.

1 January 2023 in Latin American Journal of Probability and Mathematical Statistics
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Journal Article
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JLJunfeng Liu
Junfeng Liu
GSGuangjun Shen
Guangjun Shen