activity
20202022
most citedStochastic Lotka-Volterra Competitive Reaction-Diffusion Systems Perturbed by Space-Time White Noise: Modeling and Analysis

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2022

Mean-variance portfolio selection with dynamic attention behavior in a hidden Markov model

Y. Zhang, Z. Jin, J. Wei +1

In this paper, we study closed-loop equilibrium strategies for mean-variance portfolio selection problem in a hidden Markov model with dynamic attention behavior. In addition to th…

math.PR2022★ 2 cited

Stochastic epidemic SIR models with hidden states

Nguyen Du, Alexandru Hening, Nhu Nguyen +1

This paper focuses on and analyzes realistic SIR models that take stochasticity into account. The proposed systems are applicable to most incidence rates that are used in the liter…

math.PR2021

Stochastic Approximation with Discontinuous Dynamics, Differential Inclusions, and Applications

Nhu Nguyen, George Yin

This work develops new results for stochastic approximation algorithms. The emphases are on treating algorithms and limits with discontinuities. The main ingredients include the us…

math.PR2020★ 3 cited

Stochastic Lotka-Volterra Competitive Reaction-Diffusion Systems Perturbed by Space-Time White Noise: Modeling and Analysis

N. N. Nguyen, G. Yin

Motivated by the traditional Lotka-Volterra competitive models, this paper proposes and analyzes a class of stochastic reaction-diffusion partial differential equations. In contras…

cs.LG2020★ 1 cited

Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning

Vikram Krishnamurthy, George Yin

This paper develops a novel passive stochastic gradient algorithm. In passive stochastic approximation, the stochastic gradient algorithm does not have control over the location wh…