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.

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)

References in corpus (4)

• Asymptotic laws for compositions derived from transformed subordinators
• Spinal partitions and invariance under re-rooting of continuum random trees
• Subtree prune and regraft: a reversible real tree-valued Markov process
• Discretization methods for homogeneous fragmentations