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 Student’s 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...