TAR Modeling with Missing Data when the White Noise Process Follows a Student's t-Distribution

This paper considers the modeling of the threshold autoregressive (TAR) process, which is driven by a noise process that follows a Students t-distribution. The analysis is done in the presence of missing data in both the threshold process {Zt} and the interest process {Xt}. We develop a three-stage...

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Bibliographic Details
Main Authors: HANWEN ZHANG, FABIO H. NIETO
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2015-01-01
Series:Revista Colombiana de Estadística
Subjects:
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512015000100013&lng=en&tlng=en