The autocorrelation structure of integer-valued autoregressive random fields

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Authors: Angelika Silbernagel, Christian H. Weiß
Cited by: 1
References: 10

Abstract

After clarifying possible misunderstandings concerning covariances of thinned random variables, we propose a refined definition of the first-order integer-valued autoregressive model for count random fields. We provide a comprehensive derivation of its autocorrelation structure, which also covers some former results. Moreover, we expand the refined model to higher-order autoregressions and study its stochastic properties.

Fields of Study & Subjects

Financial Risk and Volatility Modeling Statistical Distribution Estimation and Applications Statistical Methods and Inference

Publication details

Journal / source
Statistics & Probability Letters
Publisher
Elsevier BV
Volume
233
Pages
110681–110681
Publication date
7 February 2026
Language
EN