Log-ratio methods in mixture models for compositional data sets

• M. Comas-Cufí ^[1] ; J.A. Martín-Fernández ^[1] ; G. Mateu-Figueras ^[1]
  1. [1] Universitat de Girona

     Universitat de Girona

     Gerona, España

     
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 40, Nº. 2, 2016, págs. 349-374
• Idioma: inglés
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• Resumen

  • When traditional methods are applied to compositional data misleading and incoherent results could be obtained. Finite mixtures of multivariate distributions are becoming increasingly important nowadays. In this paper, traditional strategies to fit a mixture model into compositional data sets are revisited and the major difficulties are detailed. A new proposal using a mixture of distributions defined on orthonormal log-ratio coordinates is introduced. A real data set analysis is presented to illustrate and compare the different methodologies.