A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes-Reference-Cited by-同舟云学术

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A finite mixture approach to joint clustering of individuals and multivariate discrete outcomes

Published:2017-05-08 Issue:11 Volume:87 Page:2186-2206
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Martella Francesca¹,Alfò Marco¹

Affiliation:

1. Dipartimento di Scienze Statistiche, Sapienza Università di Roma, Rome, Italy

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1322593

Reference85 articles.

1. Ghahramani Z, Hinton GE. The EM algorithm for mixture of factor analyzers. Technical Report, CRG-TR-96-1, 8, University of Toronto; 1997.

2. Parsimonious Gaussian mixture models

3. Maximum likelihood estimation in constrained parameter spaces for mixtures of factor analyzers

4. Mixtures of skew-t factor analyzers

5. A mixture of generalized hyperbolic factor analyzers

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