48 pages, version étendue d'un article soumisInternational audienceRecently we have introduced Moran type interacting particle systems in order to numerically compute normalized continuous time Feynman-Kac formulae. These schemes can also be seen as approximating procedures for certain simple generalized spatially homogeneous Boltzmann equations, so strong propagation of chaos is known to hold for them. We will give a new proof of this result by studying the evolution of tensorized empirical measures and then applying two straightforward coupling arguments. The only difficulty is in the first step to find nice martingales, and this will be done via the introduction of another family of Moran semigroups. This work also procures us the opport...
We deduce the kinetic equations describing the low density (and the large number of particles) limi...
International audienceThis article is concerned with the exponential stability and the uniform propa...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
48 pages, version étendue d'un article soumisInternational audienceRecently we have introduced Moran...
AbstractWe present a weighted sampling Moran particle system model for the numerical solving of a cl...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 22522, issue : a.2000 ...
We consider a family of stochastic interacting particle systems introduced by Kac as a model for a s...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
AbstractThis paper is concerned with the asymptotic behaviour of a system of particles with moderate...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
In this Note we present the main results from the recent work arxiv:1107.3251, which answers several...
In this work, we generalize M. Kac's original many-particle binary stochastic model to derive a spac...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
A path-valued interacting particle systems model for the genealogi-cal structure of genetic algorith...
We deduce the kinetic equations describing the low density (and the large number of particles) limi...
International audienceThis article is concerned with the exponential stability and the uniform propa...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
48 pages, version étendue d'un article soumisInternational audienceRecently we have introduced Moran...
AbstractWe present a weighted sampling Moran particle system model for the numerical solving of a cl...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 22522, issue : a.2000 ...
We consider a family of stochastic interacting particle systems introduced by Kac as a model for a s...
This paper is devoted to the study of mean-field limit for systems of indistinguables particles unde...
AbstractThis paper is concerned with the asymptotic behaviour of a system of particles with moderate...
This paper is devoted to the study of propagation of chaos and mean-field limit for systems of indis...
In this Note we present the main results from the recent work arxiv:1107.3251, which answers several...
In this work, we generalize M. Kac's original many-particle binary stochastic model to derive a spac...
The article deals with the propagation of chaos for a system of interacting particles. Under suitabl...
A path-valued interacting particle systems model for the genealogi-cal structure of genetic algorith...
We deduce the kinetic equations describing the low density (and the large number of particles) limi...
International audienceThis article is concerned with the exponential stability and the uniform propa...
The notion of propagation of chaos for large systems of interacting particles originates in statisti...