The large-sample asymptotic behaviour of quartet-based summary methods for species tree inference

HIGHLIGHTS

  • who: Yao-ban Chan from the School of and Statistics, Melbourne Integrative Genomics, The University of Melbourne, Melbourne, VIC, Australia have published the research: The large-sample asymptotic behaviour of quartet-based summary methods for species tree inference, in the Journal: (JOURNAL)
  • what: This model provides exact probabilities of each gene tree (and gene tree topology) given a specified species tree. Using simulations, the authors compare the bounds with the true error probability for some sample topologies. The authors now derive the central result of this paper: the authors show that the asymptotic behaviour of . . .

     

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