Add to ORKGIn the present paper a bivariate integer-valued autoregressive process of order 1 (BINAR(1)) and an INAR(1) process with a seasonal structure are introduced. We provide properties and their proofs of the BINAR(1) model. Both models are examined using non-negative integer-valued data of life and non-life insurace. The comparison between actual and fitted values is made. We calculate conditional residuals and examine the adequacy of models
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
In this thesis models of integer-valued time series based on random sums of random variables are stu...
International audienceWe propose a new family of bivariate nonnegative integer-autoregressive (BINAR...
In the present paper a bivariate integer-valued autoregressive process of order 1 (BINAR(1)) and an ...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Binomial AR(1) process is a model for integer-valued time series with a fi- nite range and discrete ...
In this paper, we propose a new type of univariate and bivariate Integer-valued autoregressive model...
International audienceIn this article, we propose an extension of integer-valued autoregressive INAR...
The purpose of this paper is to introduce and develop a family of Z+-valued autoregressive processes...
We propose a new family of bivariate nonnegative integer-autoregressive (BINAR) models for count pro...
In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Integer-valued autoregressive (INAR) processes have been introduced to model non-negative integer-va...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
In this thesis models of integer-valued time series based on random sums of random variables are stu...
International audienceWe propose a new family of bivariate nonnegative integer-autoregressive (BINAR...
In the present paper a bivariate integer-valued autoregressive process of order 1 (BINAR(1)) and an ...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Binomial AR(1) process is a model for integer-valued time series with a fi- nite range and discrete ...
In this paper, we propose a new type of univariate and bivariate Integer-valued autoregressive model...
International audienceIn this article, we propose an extension of integer-valued autoregressive INAR...
The purpose of this paper is to introduce and develop a family of Z+-valued autoregressive processes...
We propose a new family of bivariate nonnegative integer-autoregressive (BINAR) models for count pro...
In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Integer-valued autoregressive (INAR) processes have been introduced to model non-negative integer-va...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
In this thesis models of integer-valued time series based on random sums of random variables are stu...
International audienceWe propose a new family of bivariate nonnegative integer-autoregressive (BINAR...