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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 -dis- tribution. The analysis is done in the presence of missing data in both the threshold process f Z t g and the interest process f X t g . We develop a...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
I whakaputaina i:Revista Colombiana de Estadística
Ngā kaituhi matua: Hanwen Zhang, Fabio H. Nieto
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Universidad Nacional de Colombia 2015
Ngā marau:
Urunga tuihono:https://www.redalyc.org/articulo.oa?id=89938627014
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