An optimal classification rule for multiple interval-screened scale mixture of normal populations

DOI10.1016/j.jkss.2012.07.004zbMath1294.62138OpenAlexW2036156160MaRDI QIDQ2512581

Hea-Jung Kim

Publication date: 7 August 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2012.07.004

zbMATH Keywords

MCEM algorithmoptimal ruleclassification analysisscreened scale mixture of normal distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probability distributions: general theory (60E05)

Related Items

Segmented classification analysis with a class of rectangle-screened elliptical populations ⋮ A best linear threshold classification with scale mixture of skew normal populations

Uses Software

• ElemStatLearn
• PRMLT

Cites Work

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• A class of weighted multivariate normal distributions and its properties
• Hypothesis testing for the generalized multivariate modified Bessel model
• The EM Algorithm and Extensions, 2E
• Classification of Observations into One of Two Artificially Dichotomized Classes by Using a Normal Screening Variable
• Statistical Applications of the Multivariate Skew Normal Distribution
• A class of weighted multivariate distributions related to doubly truncated multivariate t-distribution