AbstractIn this paper we introduce a simple bivariate integer-valued time series model with positively correlated geometric marginals based on the negative binomial thinning mechanism. Some properties of the model are considered. The unknown parameters of the model are estimated using the modified conditional least squares method
In this paper we introduce a multiplicative integer-valued time series model, which is defined as th...
New generalized thinning operators based on Bernoulli sequences of dependent random variables are pr...
In this paper, we propose a new bivariate geometric model, derived by linking two univariate geometr...
A combined negative binomial integer-valued autoregressive process of order $p$ is defined. Correlat...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
A bivariate autoregressive model for time series of counts is presented. The model is composed of su...
Time series of (small) counts are common in practice and appear in a wide variety of fields. In the ...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thin...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thinn...
A integer-valued bilinear type model is proposed. It can take positive as well as negative values. T...
The main subject of this paper is a combined integer-valued autoregressivetime series with both posi...
In this article, we consider two univariate random environment integer-valued autoregressive process...
In this paper a multivariate integer-valued autoregressive model of order one with periodic time-va...
Modelling counts of events can be found in several situations of real life. For instance, the number...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
In this paper we introduce a multiplicative integer-valued time series model, which is defined as th...
New generalized thinning operators based on Bernoulli sequences of dependent random variables are pr...
In this paper, we propose a new bivariate geometric model, derived by linking two univariate geometr...
A combined negative binomial integer-valued autoregressive process of order $p$ is defined. Correlat...
Bivariate integer-valued time series occur in many areas, such as finance, epidemiology, business et...
A bivariate autoregressive model for time series of counts is presented. The model is composed of su...
Time series of (small) counts are common in practice and appear in a wide variety of fields. In the ...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thin...
A new first-order integer-valued moving average, INMA(1), model based on the negative binomial thinn...
A integer-valued bilinear type model is proposed. It can take positive as well as negative values. T...
The main subject of this paper is a combined integer-valued autoregressivetime series with both posi...
In this article, we consider two univariate random environment integer-valued autoregressive process...
In this paper a multivariate integer-valued autoregressive model of order one with periodic time-va...
Modelling counts of events can be found in several situations of real life. For instance, the number...
Non–negative integer–valued time series are often encountered in many different scientific fields, u...
In this paper we introduce a multiplicative integer-valued time series model, which is defined as th...
New generalized thinning operators based on Bernoulli sequences of dependent random variables are pr...
In this paper, we propose a new bivariate geometric model, derived by linking two univariate geometr...