In this paper, a bivariate integer-valued autoregressive model with periodic structure is introduced and studied in some detail. The model can be view as a generalization of the one considered in Pedeli and Karlis (2011) [Pedeli, X., Karlis, D., 2011. A bivariate INAR(1) process with application. Statist. Model. 11, 325– 349]. Emphasis is placed on models with periodic bivariate Poisson innovations. Basic probabilistic and statistical properties of the model are discussed. Moreover, parameter estimation and forecasting are also addressed
In this paper, an integer-valued autoregressive model of order one (INAR(1)) with time-varying param...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
textabstractWe propose a new periodic autoregressive model for seasonally observed time series, wher...
In this paper the periodic integer-valued autoregressive model of order one with period T, driven by...
In this paper a multivariate integer-valued autoregressive model of order one with periodic time-va...
In this paper, the periodic self-exciting threshold integer-valued autoregressive model of order o...
Integer-valued time series comprising count observations at regular time intervals can be observed i...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Integer-valued time series comprising count observations at regular time intervals can be observed i...
summary:If the parameters of an autoregressive model are periodic functions we get a periodic autore...
summary:The model of periodic autoregression is generalized to the multivariate case. The autoregres...
In this article, we consider two univariate random environment integer-valued autoregressive process...
We propose a new family of bivariate nonnegative integer-autoregressive (BINAR) models for count pro...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
In this paper, an integer-valued autoregressive model of order one (INAR(1)) with time-varying param...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
textabstractWe propose a new periodic autoregressive model for seasonally observed time series, wher...
In this paper the periodic integer-valued autoregressive model of order one with period T, driven by...
In this paper a multivariate integer-valued autoregressive model of order one with periodic time-va...
In this paper, the periodic self-exciting threshold integer-valued autoregressive model of order o...
Integer-valued time series comprising count observations at regular time intervals can be observed i...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
Integer-valued time series comprising count observations at regular time intervals can be observed i...
summary:If the parameters of an autoregressive model are periodic functions we get a periodic autore...
summary:The model of periodic autoregression is generalized to the multivariate case. The autoregres...
In this article, we consider two univariate random environment integer-valued autoregressive process...
We propose a new family of bivariate nonnegative integer-autoregressive (BINAR) models for count pro...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
We propose a new periodic autoregressive model for seasonally observed time series, where the number...
In this paper, an integer-valued autoregressive model of order one (INAR(1)) with time-varying param...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
textabstractWe propose a new periodic autoregressive model for seasonally observed time series, wher...