Log-ratio methods in mixture models for compositional data sets

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Document typeArticle
Defense date2016-12-19
PublisherInstitut d'Estadística de Catalunya
Rights accessOpen Access
Abstract
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.
CitationComas Cufí, M.; Martín-Fernández, J. A.; Mateu-Figueras, G. Log-ratio methods in mixture models for compositional data sets. "SORT", 19 Desembre 2016, vol. 1, p. 349-374.
ISSN1696-2281
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