Chapter 9
Book Series:Wiley Series in Probability and Statistics
Mixtures of Factor Analysers for the Analysis of High‐Dimensional Data
Summary
This chapter contains sections titled:
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Introduction
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Single‐factor analysis model
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Mixtures of factor analysers
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Mixtures of common factor analysers (MCFA)
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Some related approaches
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Fitting of factor‐analytic models
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Choice of the number of factors q
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Example
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Low‐dimensional plots via MCFA approach
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Multivariate t‐factor analysers
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Discussion
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Appendix
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References
Citing Literature
Number of times cited according to CrossRef: 2
- Kirsten Bulteel, Tom F. Wilderjans, Francis Tuerlinckx, Eva Ceulemans, CHull as an alternative to AIC and BIC in the context of mixtures of factor analyzers, Behavior Research Methods, 10.3758/s13428-012-0293-y, 45, 3, (782-791), (2013).
- Sharon X. Lee, Geoffrey J. McLachlan, Rejoinder to the discussion of “Model-based clustering and classification with non-normal mixture distributions”, Statistical Methods & Applications, 10.1007/s10260-013-0249-0, 22, 4, (473-479), (2013).
