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Modern Stochastics: Theory and Applications*

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On tail behaviour of stationary second-order Galton–Watson processes with immigration
Volume 7, Issue 3 (2020), pp. 315–338
Mátyás Barczy ORCID icon link to view author Mátyás Barczy details   Zsuzsanna Bősze   Gyula Pap  

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https://doi.org/10.15559/20-MSTA161
Pub. online: 10 September 2020      Type: Research Article      Open accessOpen Access

Received
23 July 2020
Revised
24 August 2020
Accepted
24 August 2020
Published
10 September 2020

Abstract

Sufficient conditions are presented on the offspring and immigration distributions of a second-order Galton–Watson process ${({X_{n}})_{n\geqslant -1}}$ with immigration, under which the distribution of the initial values $({X_{0}},{X_{-1}})$ can be uniquely chosen such that the process becomes strongly stationary and the common distribution of ${X_{n}}$, $n\geqslant -1$, is regularly varying.

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Keywords
Second-order Galton–Watson process with immigration regularly varying distribution tail behavior

MSC2010
60J80 60G70

Funding
Supported by the Hungarian Croatian Intergovernmental S&T Cooperation Programme for 2017–2018 under Grant No. 16-1-2016-0027. Mátyás Barczy is supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

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