Asymptotic properties of the EPMC for modified linear discriminant analysis when sample size and dimension are both large

DOI10.1016/j.jspi.2010.03.038zbMath1188.62189OpenAlexW2014391527MaRDI QIDQ974518

Masashi Hyodo, Takayuki Yamada

Publication date: 3 June 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.03.038

zbMATH Keywords

asymptotic approximationslinear discriminant functionexpected probability of misclassification

Mathematics Subject Classification ID

Related Items (1)

Covariance structure approximation via gLasso in high-dimensional supervised classification

Cites Work

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• Asymptotic aproximations for EPMC’s of the linear and the quadratic discriminant functions when the sample sizes and the dimension are large
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Comparison of Discrimination Methods for High Dimensional Data

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