Mildly Explosive Autoregression with Strong Mixing Errors

In this paper, we consider the mildly explosive autoregression [Formula: see text] , [Formula: see text] , where [Formula: see text] , [Formula: see text] , [Formula: see text] , and [Formula: see text] are arithmetically [Formula: see text]-mixing errors. Under some weak conditions, such as [Formul...

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Detalles Bibliográficos
Autores principales: Liu, Xian, Li, Xiaoqin, Gao, Min, Yang, Wenzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778470/
https://www.ncbi.nlm.nih.gov/pubmed/36554135
http://dx.doi.org/10.3390/e24121730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778470/
https://www.ncbi.nlm.nih.gov/pubmed/36554135
http://dx.doi.org/10.3390/e24121730

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