Mixing properties of non-stationary INGARCH(1,1) processes-Reference-Cited by-同舟云学术

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Mixing properties of non-stationary INGARCH(1,1) processes

Published:2022-02-01 Issue:1 Volume:28 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Doukhan Paul¹,Leucht Anne²,Neumann Michael H.³

Affiliation:

1. UMR 8088 Analyse, Géométrie et Modélisation, CY University, 2, avenue Adolphe Chauvin, 95302 Cergy-Pontoise Cedex, France

2. Research Group of Statistics and Mathematics, Universität Bamberg, Feldkirchenstraße 21, D – 96052 Bamberg, Germany

3. Institut für Mathematik, Friedrich-Schiller-Universität Jena, Ernst-Abbe-Platz 2, D – 07743 Jena, Germany

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Subject

Statistics and Probability

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A maximum likelihood and regenerative bootstrap approach for estimation and forecasting of INAR( p ) processes with zero-inflated innovations;Statistics;2024-03-03

2. A Systematic Review of INGARCH Models for Integer-Valued Time Series;Entropy;2023-06-11

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