Bayesian feature selection for classification with possibly large number of classes

DOI10.1016/j.jspi.2011.04.011zbMath1216.62037OpenAlexW2022534931MaRDI QIDQ546111

Yong-Cai Geng, Sumit K. Garg

Publication date: 24 June 2011

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.2011.04.011

zbMATH Keywords

ANOVAhigh-dimensional dataBayesian feature selection

Mathematics Subject Classification ID

Related Items (3)

Classification with many classes: challenges and pluses ⋮ Model Selection for Classification with a Large Number of Classes ⋮ Unnamed Item

Cites Work

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• A multivariate empirical Bayes statistic for replicated microarray time course data
• High-dimensional classification using features annealed independence rules
• Wavelet estimation of a base-line signal from repeated noisy measurements by vertical block shrinkage.
• Calibration and empirical Bayes variable selection
• Ideal spatial adaptation by wavelet shrinkage

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