Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data-Reference-Cited by-同舟云学术

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Model-based clustering via mixtures of unrestricted skew normal factor analyzers with complete and incomplete data

Published:2022-12-06 Issue: Volume: Page:
ISSN:1618-2510
Container-title:Statistical Methods & Applications
language:en
Short-container-title:Stat Methods Appl

Author:

Wang Wan-Lun^ORCID,Lin Tsung-I^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10260-022-00674-x.pdf

Reference48 articles.

1. Aitken AC (1926) On Bernoulli’s numerical solution of algebraic equations. Proc Roy Soc Edinburgh 46:289–305

2. Arellano-Valle R, Genton M (2005) On fundamental skew distributions. J Multivariate Anal 96:93–116

3. Azzalini A (2022) sn: The Skew-Normal and Related Distributions Such as the Skew-t and the SUN. R package version 2.1.0

4. Azzalini A, Dalla Valle A (1996) The multivariate skew-normal distribution. Biometrika 83:715–726

5. Biernacki C, Celeux G, Govaert G (2000) Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans Patt Anal Mach Intell 22:719–725

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