Title
Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes
Abstract
This article redefines the self-exciting threshold integer-valued autoregressive (SETINAR(2,1)) processes under a weaker condition that the second moment is finite, and studies the quasi-likelihood inference for the new model. The ergodicity of the new processes is discussed. Quasi-likelihood estimators for the model parameters and the asymptotic properties are obtained. Confidence regions of the parameters based on the quasi-likelihood method are given. A simulation study is conducted for the evaluation of the proposed approach and an application to a real data example is provided.
Year
DOI
Venue
2017
10.1007/s00180-017-0748-9
Computational Statistics
Keywords
DocType
Volume
SETINAR process,Integer-valued threshold models,Confidence region
Journal
32
Issue
ISSN
Citations 
4
1613-9658
2
PageRank 
References 
Authors
0.63
0
3
Name
Order
Citations
PageRank
Han Li120.63
Kai Yang220.63
yang3157.73