Tournament screening cum EBIC for feature selection with high-dimensional feature spaces

DOI10.1007/s11425-009-0089-4zbMath1176.62014OpenAlexW2032272951MaRDI QIDQ1042967

Jiahua Chen, Zehua Chen

Publication date: 7 December 2009

Published in: Science in China. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-009-0089-4

zbMATH Keywords

dimensionality reductionpenalized likelihoodsure screening

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical ranking and selection procedures (62F07)

Related Items

Laplace Error Penalty-based Variable Selection in High Dimension, Sparse model identification and learning for ultra-high-dimensional additive partially linear models, Modified versions of the Bayesian information criterion for sparse generalized linear models, High-dimensional variable selection via low-dimensional adaptive learning

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