An empirical likelihood approach for discriminant analysis of non-Gaussian vector stationary linear processes

zbMATH Open1336.60072MaRDI QIDQ2797805

Fumiya Akashi

Publication date: 31 March 2016

Published in: Scientiae Mathematicae Japonicae (Search for Journal in Brave)

Full work available at URL: http://www.jams.or.jp/scm/abstract/e-2013/2013-54.txt

zbMATH Keywords

discriminant analysisperiodogramempirical likelihoodclassification criterionnon-Gaussian vector stationary linear processes

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Central limit and other weak theorems (60F05) Stationary stochastic processes (60G10)

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