International audienceWe study systems of simple point processes that admit stochastic intensities. We represent these point processes as thinnings of Poisson measures and are interested in a convergence result of such systems. This result states that, if the stochastic intensities of the limit point processes are independent of the underlying Poisson measures, the convergence in distribution in Skorohod topology of the stochastic intensities implies the same convergence for the point processes.Nous étudions des systèmes de processus ponctuels ayant des intensités stochastiques. Nous représentons ces processus ponctuels comme des amincissements de mesures de Poisson, et nous nous intéressons à un résultat de convergence de tels systèmes. Ce...
AbstractWe study the stochastic ordering of random measures and point processes generated by a parti...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
A survey on functional limit theorems for compositions of stochastic processes is presented. Applica...
International audienceWe study systems of simple point processes that admit stochastic intensities. ...
International audienceWe consider a Poisson point process on R" of support {(x, y) 6 R2 : 0 < x < 1 ...
International audienceWe consider a sequence of systems of Hawkes processes having mean field intera...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
Let η t be a Poisson point process with intensity measure tμ , t>0 , over a Borel space X , where ...
Stein’s method constitutes one of the main techniques to solve some approximation problems in probab...
AbstractIn this paper the convergence of suitably normalized thinning processes is considered. That ...
La méthode de Stein constitue une des principales techniques pour la résolution de certains problème...
Les processus déterminantaux ont généré de l’intérêt dans des domaines très divers, tels que ...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
summary:Oscillating point patterns are point processes derived from a locally finite set in a finite...
According to Dudley’s extension of the Skorohod representation theo-rem, convergence in distribution...
AbstractWe study the stochastic ordering of random measures and point processes generated by a parti...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
A survey on functional limit theorems for compositions of stochastic processes is presented. Applica...
International audienceWe study systems of simple point processes that admit stochastic intensities. ...
International audienceWe consider a Poisson point process on R" of support {(x, y) 6 R2 : 0 < x < 1 ...
International audienceWe consider a sequence of systems of Hawkes processes having mean field intera...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
Let η t be a Poisson point process with intensity measure tμ , t>0 , over a Borel space X , where ...
Stein’s method constitutes one of the main techniques to solve some approximation problems in probab...
AbstractIn this paper the convergence of suitably normalized thinning processes is considered. That ...
La méthode de Stein constitue une des principales techniques pour la résolution de certains problème...
Les processus déterminantaux ont généré de l’intérêt dans des domaines très divers, tels que ...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
summary:Oscillating point patterns are point processes derived from a locally finite set in a finite...
According to Dudley’s extension of the Skorohod representation theo-rem, convergence in distribution...
AbstractWe study the stochastic ordering of random measures and point processes generated by a parti...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
A survey on functional limit theorems for compositions of stochastic processes is presented. Applica...