Inhomogeneous Markov branching processes: Supercritical case
H. Cohn and
H. Hering
Stochastic Processes and their Applications, 1983, vol. 14, issue 1, 79-91
Abstract:
It is our aim to improve the limit theory of supercritical Bienaymé--Galton--Watson processes with varying environment (cf. [3], [4]), and to simultaneously construct its continuous-time analogue. We give a necessary and sufficient condition for the existence of a non-degenerate limit with expectation norming and show that if the limit is non-degenerate, its expectation must be equal to 1. We continue with a result on the expectation of the limit in case of general norming and conditions for the continuity and strict monotonicity of the limiting distribution function. Finally, we reformulate the non-degeneracy condition.
Keywords: Inhomogeneous; Markov; processes; varying; environment; differential; equation; branching; supercritical; limit; theorem (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(83)90048-0
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:spapps:v:14:y:1983:i:1:p:79-91
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().