A Bayesian hybrid huberized support vector machine and its applications in high-dimensional medical data

DOI10.1016/j.csda.2010.09.024zbMath1328.62584OpenAlexW2030634012MaRDI QIDQ901503

Ruixin Guo, Sounak Chakraborty

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.09.024

zbMATH Keywords

cancer classificationgene expression microarrayselastic-net penaltygene selection and groupinghierarchical and empirical Bayeshybrid huberized support vector machine

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items

Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis ⋮ Bayesian group bridge for bi-level variable selection ⋮ Bayesian regularization via graph Laplacian ⋮ Two-group classification with high-dimensional correlated data: a factor model approach

Uses Software

• uniCox

Cites Work

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