Título: A new family of Markov branching trees: the alpha-gamma model
Autores: Chen, Bo; University of Oxford
Ford, Daniel; Google Inc.
Winkel, Matthias; University of Oxford
Fecha: 2009-01-01
Publicador: Electronic journal of probability
Fuente:
Tipo: Peer-reviewed Article

Tema: Alpha-gamma tree, splitting rule, sampling consistency, self-similar fragmentation, dislocation measure, continuum random tree, R-tree, Markov branching model
60J80
Descripción: We introduce a simple tree growth process that gives rise to a new two-parameter family of discrete fragmentation trees that extends Ford's alpha model to multifurcating trees and includes the trees obtained by uniform sampling from Duquesne and Le Gall's stable continuum random tree. We call these new trees the alpha-gamma trees. In this paper, we obtain their splitting rules, dislocation measures both in ranked order and in size-biased order, and we study their limiting behaviour.
Idioma: No aplica

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