activity
20172023
most citedLarge Deviations Principles for Langevin Equations in Random Environment and Applications

5 citations · 22 across the 13 of their papers we have counts for

collaborators

15 papers

math.PR2023★ 4 cited

Stochastic nutrient-plankton models

Alexandru Hening, Nguyen Trong Hieu, Dang Hai Nguyen +1

We analyze plankton-nutrient food chain models composed of phytoplankton, herbivorous zooplankton and a limiting nutrient. These models have played a key role in understanding the…

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

Second-Order Fast-Slow Stochastic Systems

Nhu N. Nguyen, George Yin

This paper focuses on systems of nonlinear second-order stochastic differential equations with multi-scales. The motivation for our study stems from mathematical physics and statis…

math.PR2021

Random switching in an ecosystem with two prey and one predator

Alexandru Hening, Dang Nguyen, Nhu Nguyen +1

In this paper we study the long term dynamics of two prey species and one predator species. In the deterministic setting, if we assume the interactions are of Lotka-Volterra type (…

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…

stat.ME2021★ 1 cited

Maximum Likelihood Estimation of Diffusions by Continuous Time Markov Chain

J. L. Kirkby, Dang Nguyen, Duy Nguyen +1

In this paper we present a novel method for estimating the parameters of a parametric diffusion processes. Our approach is based on a closed-form Maximum Likelihood estimator for a…

math.PR2021

Stability and Stabilization of Coupled Jump Diffusions and Applications

Dang Nguyen, Duy Nguyen, Nhu Nguyen +1

This paper develops stability and stabilization results for systems of fully coupled jump diffusions. Such systems frequently arise in numerous applications where each subsystem (c…

math.PR2021★ 1 cited

Stochastic Functional Kolmogorov Equations II: Extinction

Dang H. Nguyen, Nhu N. Nguyen, George Yin

This work, Part II, together with its companion Part I develops a new framework for stochastic functional Kolmogorov equations, which are nonlinear stochastic differential equation…

math.PR2021★ 2 cited

Stochastic Functional Kolmogorov Equations (I): Persistence

Dang H. Nguyen, Nhu N. Nguyen, George Yin

This work (Part (I)) together with its companion (Part (II) [45]) develops a new framework for stochastic functional Kolmogorov equations, which are nonlinear stochastic differenti…

math.PR2021★ 5 cited

Large Deviations Principles for Langevin Equations in Random Environment and Applications

Nhu N. Nguyen, George Yin

In contrast to the study of Langevin equations in a homogeneous environment in the literature, the study on Langevin equations in randomly-varying environments is relatively scarce…

math.PR2021

Exponential tightness of a family of Skorohod integrals

Nhu N. Nguyen

Exponential tightness of a family of Skorohod integrals is studied in this paper. We first provide a counterexample to illustrate that in general the exponential tightness with spe…

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…

math.DS2018★ 1 cited

Stochastic Partial Differential Equation Models for Spatially Dependent Predator-Prey Equations

N. N. Nhu, G. Yin

Stemming from the stochastic Lotka-Volterra or predator-prey equations, this work aims to model the spatial inhomogeneity by using stochastic partial differential equations (SPDEs)…

math.DS2018★ 3 cited

Analysis of A Spatially Inhomogeneous Stochastic Partial Differential Equation Epidemic Model

Dang H Nguyen, Nhu N Nguyen, George Yin

This work proposes and analyzes a family of spatially inhomogeneous epidemic models. This is our first effort to use stochastic partial differential equations (SPDEs) to model epid…

math.PR2017

General Nonlinear Stochastic Systems Motivated by Chemostat Models: Complete Characterization of Long-Time Behavior, Optimal Controls, and Applications to Wastewater Treatment

Dang H. Nguyen, Nhu Nguyen, George Yin

The paper considers a chemostat model describing an activated sludge process in wastewater treatment. The model is assumed to be subject to environment noise in terms of both white…