A consistent variable selection method in high-dimensional canonical discriminant analysis

Ryoya Oda, Yuya Suzuki, Hirokazu Yanagihara, Yasunori Fujikoshi

Type: Article

Publication Date: 2019-10-22

Citations: 16

DOI: https://doi.org/10.1016/j.jmva.2019.104561

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Locations

Journal of Multivariate Analysis - View

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Works Cited by This (22)

Action	Title	Year	Authors
+	The Determination of the Order of an Autoregression	1979	E. J. Hannan Barry G. Quinn
+	Strong consistency of the information criterion for model selection in multivariate analysis	1988	Ryuei Nishii Zhidong Bai P. R. Krishnaiah
+	A criterion for variable selection in multiple discriminant analysis	1983	Yasunori Fujikoshi
+ PDF Chat	A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant	2012	Jianqing Fan Yang Feng Xin Tong
+	Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality	2015	Keisuke Fukui
+	On detection of the number of signals in presence of white noise	1986	L.C. Zhao P. R. Krishnaiah Zhidong Bai
+	TESTS OF SIGNIFICANCE IN MULTIVARIATE ANALYSIS	1948	C. Radhakrishna Rao
+	A test for additional information in canonical correlation analysis	1982	Yasunori Fujikoshi
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike
+	Selection of Variables in Multivariate Regression Models for Large Dimensions	2012	Tatsuya Kubokawa Muni S. Srivastava