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FORECASTING IN INAR(1) MODEL

Title
FORECASTING IN INAR(1) MODEL
Type
Article in International Scientific Journal
Year
2009
Authors
silva, n
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
pereira, i
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 7 No. 2
Pages: 119-134
ISSN: 1645-6726
Scientific classification
FOS: Natural sciences > Mathematics
Other information
Authenticus ID: P-003-MC4
Abstract (EN): In this work we consider the problem of forecasting integer-valued time series, modelled by the INAR(1) process introduced by McKenzie (1985) and Al-Osh and Alzaid (1987). The theoretical properties and practical applications of INAR and related processes have been discussed extensively in the literature but there is still some discussion on the problem of producing coherent, i.e. integer-valued, predictions. Here Bayesian methodology is used to obtain point predictions as well as confidence intervals for future values of the process. The predictions thus obtained are compared with their classic counterparts. The proposed approaches are illustrated with a simulation study and a real example.
Language: English
Type (Professor's evaluation): Scientific
Contact: neliasilva@ua.pt; isabel.pereira@ua.pt; mesilva@fep.up.pt
No. of pages: 16
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