Bias-Corrected Hierarchical Bayesian Classification With a Selected Subset of High-Dimensional Features

DOI10.1198/jasa.2011.ap10446zbMath1320.62147OpenAlexW1999676174MaRDI QIDQ4916445

Longhai Li

Publication date: 22 April 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jasa.2011.ap10446

zbMATH Keywords

feature selectionhigh-dimensional classificationoptimistic bias

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (2)

Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection ⋮ BCBCSF

Uses Software

• R

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