General branching processes in discrete time as random trees

dc.creatorJagers, Peter
dc.creatorSagitov, Serik
dc.date2008-11-14
dc.date.accessioned2026-07-07T10:18:24Z
dc.date.available2026-07-07T10:18:24Z
dc.descriptionThe simple Galton--Watson process describes populations where individuals live one season and are then replaced by a random number of children. It can also be viewed as a way of generating random trees, each vertex being an individual of the family tree. This viewpoint has led to new insights and a revival of classical theory. We show how a similar reinterpretation can shed new light on the more interesting forms of branching processes that allow repeated bearings and, thus, overlapping generations. In particular, we use the stable pedigree law to give a transparent description of a size-biased version of general branching processes in discrete time. This allows us to analyze the $x\log x$ condition for exponential growth of supercritical general processes as well as relation between simple Galton--Watson and more general branching processes.
dc.descriptionPublished in at http://dx.doi.org/10.3150/08-BEJ138 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
dc.identifierhttps://arxiv.org/abs/0811.2299
dc.identifierhttp://arxiv.org/abs/0811.2299
dc.identifierBernoulli 2008, Vol. 14, No. 4, 949-962
dc.identifierdoi:10.3150/08-BEJ138
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/174173
dc.subjectStatistics Theory
dc.titleGeneral branching processes in discrete time as random trees
dc.typetext

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