Information-Theoretic Principal Variable Selection Criterion and Its Properties-Reference-Cited by-同舟云学术

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Information-Theoretic Principal Variable Selection Criterion and Its Properties

Published:2023 Issue:2 Volume:50 Page:49-59
ISSN:0385-5481
Container-title:Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
language:en
Short-container-title:Kodo Keiryogaku

Author:

Yoshida Haruka¹,Kuroki Manabu²

Affiliation:

1. Mathematical Sciences, Department of Mathematics, Physics, Electrical Engineering and Computer Science, Graduate School of Engineering Science, Yokohama National University

2. Division of Intelligent Systems Engineering, Faculty of Engineering, Yokohama National University

Publisher

Behaviormetric Society of Japan

Link

https://www.jstage.jst.go.jp/article/jbhmk/50/2/50_49/_pdf

Reference19 articles.

1. Cumming, J. A. & Wooff, D. A. (2007). Dimension reduction via principal variables. Computational Statistics and Data Analysis, 52, 550—565.

2. de Falguerolles, A. & Jmel, S. (1993a). Un critêre de choix de variables en analyse en composantes principales fondê sur des modêles graphiques gaussiens particuliers. Canadian Journal of Statistics, 21, 239—256.

3. de Falguerolles, A. & Jmel, S. (1993b). Un modêle graphique pour la sêlection de variables qualitatives. Revue de Statistique Appliquêe, 41, 23—41.

4. Jolliffe, I. T. (2013). Principal Component Analysis, Springer.

5. Kullback, S. & Leibler, R. A. (1951). On information and sufficiency. Annals of Mathematical Statistics, 22, 79—86.

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