Bayesian phylogenetic analysis of linguistic data using BEAST.

Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datasets by reconstructing phylogenies—family trees—that represent the history of language families. These methods provide a powerful way to test hypotheses about prehistory, regarding the subgrouping, orig...

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Detalles Bibliográficos
Publicado en:Journal of Language Evolution Vol. 6; no. 2; pp. 119 - 136
Autores principales: Hoffmann, Konstantin, Bouckaert, Remco, Greenhill, Simon J, Kühnert, Denise
Formato: Artículo
Publicado: Oxford University Press / USA Jul2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2021
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      pub: Oxford University Press / USA
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        atl: Bayesian phylogenetic analysis of linguistic data using BEAST.
      aug:
        au:
          Hoffmann, Konstantin
          Bouckaert, Remco
          Greenhill, Simon J
          Kühnert, Denise
        affil:
          Transmission, Infection, Diversification & Evolution Group, Max Planck Institute for the Science of Human History , Kahlaische Straße 10, Jena 07745, Germany
          Centre for Computational Evolution, University of Auckland, 3 Symonds St, Auckland Central, Auckland 1010, New Zealand
          Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History , Kahlaische Straße 10, Jena 07745, Germany
          ARC Centre of Excellence for the Dynamics of Language, ANU College of Asia and the Pacific, The Australian National University, Coombs Building, Liversidge St, Acton ACT 2601, Australia
      su:
        Bayesian analysis
        Linguistic analysis
        Data analysis
        Molecular clock
        Software development tools
        Genetic distance
      sug:
        subj:
          Bayesian analysis
          Linguistic analysis
          Data analysis
          Molecular clock
          Software development tools
          Genetic distance
      ab: Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datasets by reconstructing phylogenies—family trees—that represent the history of language families. These methods provide a powerful way to test hypotheses about prehistory, regarding the subgrouping, origins, expansion, and timing of the languages and their speakers. Through phylogenetics, we gain insights into the process of language evolution in general and into how fast individual features change in particular. This article introduces Bayesian phylogenetics as applied to languages. We describe substitution models for cognate evolution, molecular clock models for the evolutionary rate along the branches of a tree, and tree generating processes suitable for linguistic data. We explain how to find the best-suited model using path sampling or nested sampling. The theoretical background of these models is supplemented by a practical tutorial describing how to set up a Bayesian phylogenetic analysis using the software tool BEAST2.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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