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  • 标题:Mixing properties of integer-valued GARCH processes
  • 本地全文:下载
  • 作者:Paul Doukhan ; Naushad Mamode Khan ; Michael H. Neumann
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2021
  • 卷号:18
  • 期号:1
  • 页码:401
  • DOI:10.30757/ALEA.v18-18
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:We consider models for count variables with a GARCH-type structure. Such a process consists of an integer-valued component and a volatility process. Using arguments for contractive Markov chains we prove that this bivariate process has a unique stationary regime. Furthermore, we show absolute regularity (β-mixing) with geometrically decaying coefficients for the count process. These probabilistic results are complemented by a statistical analysis and a few simulations.
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