Gebruikersprofielen voor Yuecai Han
Yuecai HanJilin University Geverifieerd e-mailadres voor jlu.edu.cn Geciteerd door 404 |
Maximum principle for backward doubly stochastic control systems with applications
Y Han, S Peng, Z Wu - SIAM Journal on Control and Optimization, 2010 - SIAM
We investigate the optimal control problems for backward doubly stochastic control systems.
As a necessary condition of the optimal control we obtain a stochastic maximum principle. …
As a necessary condition of the optimal control we obtain a stochastic maximum principle. …
Invariant tori in Hamiltonian systems with high order proper degeneracy
We study the existence of quasi-periodic, invariant tori in a nearly integrable Hamiltonian
system of high order proper degeneracy, ie, the integrable part of the Hamiltonian involves …
system of high order proper degeneracy, ie, the integrable part of the Hamiltonian involves …
Degenerate lower-dimensional tori in Hamiltonian systems
We study the persistence of lower-dimensional tori in Hamiltonian systems of the form H(x,y,z)=〈ω,y〉+12〈z,M(ω)z〉+εP(x,y,z,ω),
where (x,y,z)∈T n ×R n ×R 2m , ε is a small parameter, …
where (x,y,z)∈T n ×R n ×R 2m , ε is a small parameter, …
[HTML][HTML] Periodic solutions of Fokker–Planck equations
F Chen, Y Han, Y Li, X Yang - Journal of Differential Equations, 2017 - Elsevier
In this paper, the existence of periodic solutions of Fokker–Planck equations is obtained by
discussing the existence of periodic solutions in distribution for some stochastic differential …
discussing the existence of periodic solutions in distribution for some stochastic differential …
Maximum principle for general controlled systems driven by fractional Brownian motions
We obtain a maximum principle for stochastic control problem of general controlled stochastic
differential systems driven by fractional Brownian motions (of Hurst parameter H>1/2). This …
differential systems driven by fractional Brownian motions (of Hurst parameter H>1/2). This …
A deep learning method for pricing high-dimensional American-style options via state-space partition
Y Han, X Zheng - Computational and Applied Mathematics, 2024 - Springer
This paper proposes a deep learning approach for solving optimal stopping problems and
high-dimensional American-style options pricing problems. Through state-space partition, the …
high-dimensional American-style options pricing problems. Through state-space partition, the …
Nadaraya-Watson estimators for reflected stochastic processes
Y Han, D Zhang - Acta Mathematica Scientia, 2024 - Springer
We study the Nadaraya-Watson estimators for the drift function of two-sided reflected stochastic
differential equations. The estimates, based on either the continuously observed process …
differential equations. The estimates, based on either the continuously observed process …
Stochastic maximum principle for control systems with time-varying delay
Y Han, Y Li - Systems & Control Letters, 2024 - Elsevier
In this paper, we study the stochastic optimal control problem for control systems with time-varying
delay. The corresponding state equation is a kind of stochastic differential delay …
delay. The corresponding state equation is a kind of stochastic differential delay …
The threshold of a stochastic SIQS epidemic model
Y Pang, Y Han, W Li - Advances in Difference Equations, 2014 - Springer
In this paper, we discuss the dynamics of a stochastic SIQS epidemic model. When the
noise is large, the infective decays exponentially to zero regardless of the magnitude of R 0 . …
noise is large, the infective decays exponentially to zero regardless of the magnitude of R 0 . …
Modified least squares estimators for Ornstein–Uhlenbeck processes from low-frequency observations
We propose a modified least squares estimator for the drift parameter of the Ornstein–Uhlenbeck
process when the observations are available at a discrete instant in a low-frequency …
process when the observations are available at a discrete instant in a low-frequency …