General branching processes in discrete time as random trees

Mathematics – Statistics Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published in at http://dx.doi.org/10.3150/08-BEJ138 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statisti

Scientific paper

10.3150/08-BEJ138

The 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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

General branching processes in discrete time as random trees does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with General branching processes in discrete time as random trees, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and General branching processes in discrete time as random trees will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-10967

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.