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Log-ratio methods in mixture models for compositional data sets
dc.contributor.author | Comas Cufí, Marc |
dc.contributor.author | Martín-Fernández, Josep Antoni |
dc.contributor.author | Mateu-Figueras, Glòria |
dc.date.accessioned | 2018-01-12T15:30:12Z |
dc.date.available | 2018-01-12T15:30:12Z |
dc.date.issued | 2016-12-19 |
dc.identifier.citation | Comas 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. |
dc.identifier.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2117/112749 |
dc.description.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. |
dc.format.extent | 26 p. |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.other | Compositional data |
dc.subject.other | Finite Mixture |
dc.subject.other | Log ratio |
dc.subject.other | Model-based clustering |
dc.subject.other | Normal distribution |
dc.subject.other | Orthonormal coordinates |
dc.subject.other | Simplex |
dc.title | Log-ratio methods in mixture models for compositional data sets |
dc.type | Article |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62E Distribution theory |
dc.subject.ams | Classificació AMS::62 Statistics::62G Nonparametric inference |
dc.subject.ams | Classificació AMS::62 Statistics::62H Multivariate analysis |
dc.rights.access | Open Access |
local.citation.publicationName | SORT |
local.citation.volume | 1 |
local.citation.startingPage | 349 |
local.citation.endingPage | 374 |