Regenerative tree growth: Binary self-similar continuum random trees and Poisson--Dirichlet compositions
Abstract
We use a natural ordered extension of the Chinese Restaurant Process to grow a two-parameter family of binary self-similar continuum fragmentation trees. We provide an explicit embedding of Ford's sequence of alpha model trees in the continuum tree which we identified in a previous article as a distributional scaling limit of Ford's trees. In general, the Markov branching trees induced by the two-parameter growth rule are not sampling consistent, so the existence of compact limiting trees cannot be deduced from previous work on the sampling consistent case. We develop here a new approach to establish such limits, based on regenerative interval partitions and the urn-model description of sampling from Dirichlet random distributions.
Cite
@article{arxiv.0803.3098,
title = {Regenerative tree growth: Binary self-similar continuum random trees and Poisson--Dirichlet compositions},
author = {Jim Pitman and Matthias Winkel},
journal= {arXiv preprint arXiv:0803.3098},
year = {2009}
}
Comments
Published in at http://dx.doi.org/10.1214/08-AOP445 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)