Discriminant analysis in small and large dimensions
نویسندگان
چکیده
منابع مشابه
Semiparametric Sparse Discriminant Analysis in Ultra-High Dimensions
In recent years, a considerable amount of work has been devoted to generalizing linear discriminant analysis to overcome its incompetence for high-dimensional classification (Witten & Tibshirani 2011, Cai & Liu 2011, Mai et al. 2012, Fan et al. 2012). In this paper, we develop high-dimensional semiparametric sparse discriminant analysis (HD-SeSDA) that generalizes the normal-theory discriminant...
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ژورنال
عنوان ژورنال: Theory of Probability and Mathematical Statistics
سال: 2020
ISSN: 0094-9000,1547-7363
DOI: 10.1090/tpms/1096