Add to ORKGRecently, there has been a growing interest in modelling non-negative integer-valued time series and, specially, time series of counts. Several models have been proposed and, in particular, the INteger-valued AutoRegressive (INAR) model has been the subject of study in several papers. The pth-order integer-valued autoregressive (INARðpÞ) process is defined as follows (Latour, 1998). A discrete time non-negative integer
This paper focuses on a family of observation-driven models for autoregressive discrete-valued data,...
In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR...
This paper presents a modification and, at the same time, a generalization of the linear first order...
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 non-negative integer-va...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
In recent years, many attempts have been made to find accurate models for integer-valued times serie...
Exportado OPUSMade available in DSpace on 2019-08-11T07:11:51Z (GMT). No. of bitstreams: 1 guerrerom...
Abstract. We introduce a new class of autoregressive models for integer-valued time series using the...
Nonetheless the central role of the Box-Jenkins Gaussian autoregressive moving average models for co...
In this article, we focus on the integer valued autoregressive model, INAR (1), with Poisson innovat...
Integer valued AR (INAR) processes are perfectly suited for modelling count data. We consider the in...
International audienceIn this article, we propose an extension of integer-valued autoregressive INAR...
This paper aims to model integer valued time series with possible negative values and either positiv...
We propose and study integer-valued time series models with the discrete Laplace marginal distributi...
This paper focuses on a family of observation-driven models for autoregressive discrete-valued data,...
In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR...
This paper presents a modification and, at the same time, a generalization of the linear first order...
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 non-negative integer-va...
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integervalu...
In recent years, many attempts have been made to find accurate models for integer-valued times serie...
Exportado OPUSMade available in DSpace on 2019-08-11T07:11:51Z (GMT). No. of bitstreams: 1 guerrerom...
Abstract. We introduce a new class of autoregressive models for integer-valued time series using the...
Nonetheless the central role of the Box-Jenkins Gaussian autoregressive moving average models for co...
In this article, we focus on the integer valued autoregressive model, INAR (1), with Poisson innovat...
Integer valued AR (INAR) processes are perfectly suited for modelling count data. We consider the in...
International audienceIn this article, we propose an extension of integer-valued autoregressive INAR...
This paper aims to model integer valued time series with possible negative values and either positiv...
We propose and study integer-valued time series models with the discrete Laplace marginal distributi...
This paper focuses on a family of observation-driven models for autoregressive discrete-valued data,...
In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR...
This paper presents a modification and, at the same time, a generalization of the linear first order...