Deterministic limit of a class of continuous time Markov chains is considered based purely on differential equation techniques. Starting from the linear system of master equations, ordinary differential equations for the moments and a partial differential equation, called Fokker–Planck equation, for the distribution is derived. Introducing closures at the level of the second and third moments, mean-field approximations are introduced. The accuracy of the mean-field approximations and the Fokker–Planck equation is investigated by using two differential equation-based and an operator semigroup-based approach
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
In this paper, we study deterministic limits of Markov processes having discontinuous drifts. While ...
The paper is concerned with the deterministic limit of mean field games with a nonlocal coupling. It...
The mean-field analysis technique is used to perform analysis of a systems with a large number of co...
The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting fr...
In this paper we present an overview of the field of deterministic approximation of Markov processes...
The mean-field analysis technique is used to perform analysis of a system with a large number of com...
The statement of the mean field approximation theorem in the mean field theory of Markov processes p...
International audienceMean field approximation is a popular method to study the behaviour of stochas...
This thesis is a monograph on Markov chains and deterministic approximation schemes that enable the...
In this paper, the rigorous linking of exact stochastic models to mean-field approximations is studi...
We consider a finite number of $N$ statistically equal individuals, each moving on a finite set of s...
We here establish an upper bound on the probability for deviations of a Markov population process fr...
In this paper we extend the mean-field limit of a class of stochastic models with exponential and d...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
In this paper, we study deterministic limits of Markov processes having discontinuous drifts. While ...
The paper is concerned with the deterministic limit of mean field games with a nonlocal coupling. It...
The mean-field analysis technique is used to perform analysis of a systems with a large number of co...
The rigorous linking of exact stochastic models to mean-field approximations is studied. Starting fr...
In this paper we present an overview of the field of deterministic approximation of Markov processes...
The mean-field analysis technique is used to perform analysis of a system with a large number of com...
The statement of the mean field approximation theorem in the mean field theory of Markov processes p...
International audienceMean field approximation is a popular method to study the behaviour of stochas...
This thesis is a monograph on Markov chains and deterministic approximation schemes that enable the...
In this paper, the rigorous linking of exact stochastic models to mean-field approximations is studi...
We consider a finite number of $N$ statistically equal individuals, each moving on a finite set of s...
We here establish an upper bound on the probability for deviations of a Markov population process fr...
In this paper we extend the mean-field limit of a class of stochastic models with exponential and d...
16th International School on Formal Methods for the Design of Computer, Communication, and Software ...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
In this paper, we study deterministic limits of Markov processes having discontinuous drifts. While ...
The paper is concerned with the deterministic limit of mean field games with a nonlocal coupling. It...