Un critère de choix de variables en analyse en composantes principales fondé sur des modèles graphiques gaussiens particuliers-Reference-Cited by-同舟云学术

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Un critère de choix de variables en analyse en composantes principales fondé sur des modèles graphiques gaussiens particuliers

Published:1993-09 Issue:3 Volume:21 Page:239-256
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can. J. Statistics

Author:

Falguerolles Antoine De,Jmel SaïD

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference25 articles.

1. Factor analysis and AIC;Akaike;Psychometrika,1987

2. Choix de variables en analyse en composantes principales;Bonifas;Rev. Statist. Appl.,1984

3. Covariance selection;Dempster;Biometrics,1972

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1. Information-Theoretic Principal Variable Selection Criterion and Its Properties;Kodo Keiryogaku (The Japanese Journal of Behaviormetrics);2023

2. Variable Selection in Nonlinear Principal Component Analysis;Nonlinear Principal Component Analysis and Its Applications;2016

3. Exact methods for variable selection in principal component analysis: Guide functions and pre-selection;Computational Statistics & Data Analysis;2013-01

4. Variable selection in multivariate methods using global score estimation;Computational Statistics;2008-02-27

5. Dimension reduction via principal variables;Computational Statistics & Data Analysis;2007-09

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