On random coefficient INAR processes with long memory
Jan Beran () and
Frieder Droullier
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Jan Beran: University of Konstanz
Frieder Droullier: University of Konstanz
AStA Advances in Statistical Analysis, 2025, vol. 109, issue 2, No 3, 311 pages
Abstract:
Abstract We consider random coefficient INAR(1) processes with a strongly dependent latent random coefficient process. It is shown that, in spite of its conditional Markovian structure, the unconditional process exhibits long-range dependence. Short-term prediction and estimation of parameters involved in the prediction are considered. Asymptotic rates of convergence are derived.
Keywords: Integer valued time series; INAR process; Long memory; Long-range dependence; Random coefficient process; Gaussian subordination (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:alstar:v:109:y:2025:i:2:d:10.1007_s10182-025-00523-8
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DOI: 10.1007/s10182-025-00523-8
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