A structured Dirichlet mixture model for compositional data: inferential and applicative issues-Reference-Cited by-同舟云学术

A structured Dirichlet mixture model for compositional data: inferential and applicative issues

Published:2016-05-19 Issue:4 Volume:27 Page:963-983
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Migliorati Sonia^ORCID,Ongaro Andrea^ORCID,Monti Gianna S.^ORCID

Funder

Italian Ministry of University and Research.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11222-016-9665-y.pdf

Reference41 articles.

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4. Barndorff-Nielsen, O., Jørgensen, B.: Some parametric models on the simplex. J. Multivar. Anal. 39(1), 106–116 (1991)

5. Biernacki, C., Celeux, G., Govaert, G.: Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Stat. Data Anal 41, 561–575 (2003)

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