Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/24674
Title: Multivariate INAR processes – Periodic case
Author: Santos, Cláudia
Pereira, Isabel
Scotto, M. G.
Keywords: Multivariate models,,
Binomial thinning operator
Composite likelihood
Issue Date: Sep-2018
Publisher: Godel Impresiones Digitales S.L.
Abstract: A multivariate integer-valued autoregressive model of order one with periodic time-varying parameters, and driven by a periodic inno- vations sequence of independent random vectors is established. The bino- mial thinning operator replaces the scalar multiplication in the common time series models. The matricial form of the multivariate model and its basic statistical properties are de ned. Emphasis is placed upon models with periodic multivariate negative binomial innovations. Aiming to reduce computational burden arising from the use of the conditional maximum likelihood method a composite likelihood-based approach is adopted and compared with other traditional competitors.
Peer review: yes
URI: http://hdl.handle.net/10773/24674
ISBN: 978-84-17293-57-4
Publisher Version: http://itise.ugr.es
Appears in Collections:PSG - Comunicações

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