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
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We establish a sufficient condition for the tightness of a sequence of stochastic processes. Our con...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
AbstractThis paper consists of two parts. First, a characterization is obtained for a class of infin...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
AbstractIt is shown that any real-valued sequence of random variables {Xn} converging in probability...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
AbstractImproving and extending a characterization of Poisson processes by Rényi, we present several...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
The aim of this note is to extend tightness criteria for random measures and simple point processes ...
In this dissertation, we consider two aspects of the theory of weak convergence of cadlag processes....
The paper deals with random variables which are the values of independent identically distributed st...
AbstractA necessary and sufficient condition is given for the convergence in probability of a stocha...
summary:Let $\epsilon-\text(Z)$ be the collection of all $\epsilon$-optimal solutions for a stochast...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We establish a sufficient condition for the tightness of a sequence of stochastic processes. Our con...
AbstractIn earlier work by the author, the convergence in distribution of a sequence of point proces...
AbstractThis paper consists of two parts. First, a characterization is obtained for a class of infin...
AbstractWeak convergence of probability measures on function spaces has been active area of research...
AbstractIt is shown that any real-valued sequence of random variables {Xn} converging in probability...
AbstractWe give a new sufficient condition for convergence to a Poisson distribution of a sequence o...
AbstractImproving and extending a characterization of Poisson processes by Rényi, we present several...
AbstractEarlier results on weak convergence to diffusion processes [8] are generalized to cases wher...
The aim of this note is to extend tightness criteria for random measures and simple point processes ...
In this dissertation, we consider two aspects of the theory of weak convergence of cadlag processes....
The paper deals with random variables which are the values of independent identically distributed st...
AbstractA necessary and sufficient condition is given for the convergence in probability of a stocha...
summary:Let $\epsilon-\text(Z)$ be the collection of all $\epsilon$-optimal solutions for a stochast...
summary:In this paper the ideas of three types of statistical convergence of a sequence of random va...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
We establish a sufficient condition for the tightness of a sequence of stochastic processes. Our con...