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An Observation-Driven Random Parameter INAR(1) Model Based on the Poisson Thinning Operator
This paper presents a first-order integer-valued autoregressive time series model featuring observation-driven parameters that may adhere to a particular random distribution. We derive the ergodicity of the model as well as the theoretical properties of point estimation, interval estimation, and par...
Autores principales: | Yu, Kaizhi, Tao, Tielai |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297222/ https://www.ncbi.nlm.nih.gov/pubmed/37372203 http://dx.doi.org/10.3390/e25060859 |
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