Abstract. In this paper, we indicate how integer-valued autoregressive time series Ginar(d) of ordre d, d ≥ 1, are simple functionals of multitype branching processes with immigration. This allows the derivation of a simple criteria for the existence of a stationary distribution of the time series, thus proving and extending some results by Al-Osh and Alzaid [1], Du and Li [9] and Gauthier and Latour [11]. One can then transfer results on estimation in subcritical multitype branching processes to stationaryGinar(d) and get consistency and asymptotic normality for the corresponding estimators. The technique covers autoregressive moving average time series as well
In this paper we consider bootstrap approximation to the sampling distribution of an estimator of th...
Starting from the cumulant semigroup of a measure-valued branching process, we construct the transit...
In this paper, we consider nearly critical branching processes with immigration. We study the conver...
In this paper, we indicate how integer-valued autoregressive time series Ginar(d) of ordre d, d ≥ 1,...
We consider a multitype branching process with immigration in a ran-dom environment introduced by Ke...
In this thesis models of integer-valued time series based on random sums of random variables are stu...
International audienceInteger autoregressive and moving average models have been developed over the ...
AbstractMotivated by the statistical applications, the asymptotic behavior of certain functionals of...
Integer-valued autoregressive (INAR) processes have been introduced to model non-negative integer-va...
AbstractStarting from the cumulant semigroup of a measure-valued branching process, we construct the...
AbstractConsider a Galton–Watson process with immigration. The limiting distributions of the nonsequ...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
The purpose of this paper is to introduce and develop a family of Z+-valued autoregressive processes...
It is shown that for a data set from a branching process with immigration, where the offspring distr...
AbstractIt is shown that for a data set from a branching process with immigration, where the offspri...
In this paper we consider bootstrap approximation to the sampling distribution of an estimator of th...
Starting from the cumulant semigroup of a measure-valued branching process, we construct the transit...
In this paper, we consider nearly critical branching processes with immigration. We study the conver...
In this paper, we indicate how integer-valued autoregressive time series Ginar(d) of ordre d, d ≥ 1,...
We consider a multitype branching process with immigration in a ran-dom environment introduced by Ke...
In this thesis models of integer-valued time series based on random sums of random variables are stu...
International audienceInteger autoregressive and moving average models have been developed over the ...
AbstractMotivated by the statistical applications, the asymptotic behavior of certain functionals of...
Integer-valued autoregressive (INAR) processes have been introduced to model non-negative integer-va...
AbstractStarting from the cumulant semigroup of a measure-valued branching process, we construct the...
AbstractConsider a Galton–Watson process with immigration. The limiting distributions of the nonsequ...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
The purpose of this paper is to introduce and develop a family of Z+-valued autoregressive processes...
It is shown that for a data set from a branching process with immigration, where the offspring distr...
AbstractIt is shown that for a data set from a branching process with immigration, where the offspri...
In this paper we consider bootstrap approximation to the sampling distribution of an estimator of th...
Starting from the cumulant semigroup of a measure-valued branching process, we construct the transit...
In this paper, we consider nearly critical branching processes with immigration. We study the conver...