Regularized classification for mixed continuous and categorical variables under across-location heteroscedasticity

DOI10.1016/j.jmva.2004.03.001zbMath1095.62075OpenAlexW2039344516MaRDI QIDQ1776875

Chi-Ying Leung

Publication date: 12 May 2005

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2004.03.001

zbMATH Keywords

Asymptotic expansionLimiting expected overall errorLocation linear discriminant functionRegularized discriminationSpherically symmetric across-location dispersion

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• Unnamed Item
• Asymptotic expansion of the misclassification probabilities of D- and A- criteria for discrimination from two high dimensional populations using the theory of large dimensional random matrices
• Regularization of the location model in discrimination with mixed discrete and continuous variables
• The covariance adjusted location linear discriminant function for classifying data with unequal dispersion matrices in different locations
• The location linear discriminant for classifying observations with unequal variances
• An asymptotic expansion of the distribution of the studentized classification statistic W
• The location model for mixtures of categorical and continuous variables
• Limiting spectral distribution for a class of random matrices
• The effect of across-location heteroscedasticity on the classification of mixed categorical and continuous data
• The studentized location linear discriminant function
• Discriminant Analysis Based on Binary and Continuous Variables
• Discrimination and Classification Using Both Binary and Continuous Variables
• Discrimination with Many Variables
• Classification Based on Dichotomous and Continuous Variables
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

This page was built for publication: Regularized classification for mixed continuous and categorical variables under across-location heteroscedasticity