AbstractIn earlier work by the author, the convergence in distribution of a sequence of point processes towards a simple limit has been characterized by three conditions, where the first ensures convergence of the supports, the second that the limit of every convergent subsequence is simple, and the third that the sequence is tight. The purpose of this note is to strengthen the mentioned result, by showing that the tightness follows from the other two conditions. Similar results are obtained for convergence of random measures towards a diffuse limit and of row-sums in null-arrays towards an infinitely divisible limit
Stein’s method constitutes one of the main techniques to solve some approximation problems in probab...
AbstractThis is a study of thinnings of point processes and random measures on the real line that sa...
The paper deals with random variables which are the values of independent identically distributed st...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
The aim of this note is to extend tightness criteria for random measures and simple point processes ...
International audienceIn this article, we consider a stationary array of random variables (which sat...
In this dissertation, we consider two aspects of the theory of weak convergence of cadlag processes....
This paper consists of two parts. First, a characterization is obtained for a class of infinitely di...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
AbstractIn this paper the convergence of suitably normalized thinning processes is considered. That ...
A new approach to the study of asymptotic behavior of truncated sumsis proposed, where (An)[short up...
AbstractThis paper consists of two parts. First, a characterization is obtained for a class of infin...
Special Issue: Statistics on Dependent DataInternational audienceIn this article, we consider a sequ...
International audienceWe study systems of simple point processes that admit stochastic intensities. ...
This is a study of thinnings of point processes and random measures on the real line that satisfy a ...
Stein’s method constitutes one of the main techniques to solve some approximation problems in probab...
AbstractThis is a study of thinnings of point processes and random measures on the real line that sa...
The paper deals with random variables which are the values of independent identically distributed st...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
The aim of this note is to extend tightness criteria for random measures and simple point processes ...
International audienceIn this article, we consider a stationary array of random variables (which sat...
In this dissertation, we consider two aspects of the theory of weak convergence of cadlag processes....
This paper consists of two parts. First, a characterization is obtained for a class of infinitely di...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
AbstractIn this paper the convergence of suitably normalized thinning processes is considered. That ...
A new approach to the study of asymptotic behavior of truncated sumsis proposed, where (An)[short up...
AbstractThis paper consists of two parts. First, a characterization is obtained for a class of infin...
Special Issue: Statistics on Dependent DataInternational audienceIn this article, we consider a sequ...
International audienceWe study systems of simple point processes that admit stochastic intensities. ...
This is a study of thinnings of point processes and random measures on the real line that satisfy a ...
Stein’s method constitutes one of the main techniques to solve some approximation problems in probab...
AbstractThis is a study of thinnings of point processes and random measures on the real line that sa...
The paper deals with random variables which are the values of independent identically distributed st...