Regularly varying non-stationary Galton–Watson processes with immigration

Mátyás Barczy, Zsuzsanna Bősze and Gyula Pap

Statistics & Probability Letters, 2018, vol. 140, issue C, 106-114

Abstract: We give sufficient conditions on the initial, offspring and immigration distributions under which the distribution of a not necessarily stationary Galton–Watson process with immigration is regularly varying at any fixed time.

Keywords: Galton–Watson process with immigration; Regularly varying distribution (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715218301913
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:140:y:2018:i:c:p:106-114

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2018.05.010

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().