Independent feature screening for ultrahigh-dimensional models with interactions

DOI10.1016/j.jkss.2014.03.001zbMath1304.62045OpenAlexW1967551610MaRDI QIDQ488604

Lu Lin, Xuehu Zhu, Yunquan Song

Publication date: 26 January 2015

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.2014.03.001

zbMATH Keywords

interaction termvariable selectionfeature rankingmodel-free

Mathematics Subject Classification ID

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

Related Items

Interaction screening via canonical correlation

Cites Work

• Model-Free Feature Screening for Ultrahigh-Dimensional Data
• Sure independence screening in generalized linear models with NP-dimensionality
• Nonconcave penalized composite conditional likelihood estimation of sparse Ising models
• Robust rank correlation based screening
• Nonparametric feature screening
• Tilting Methods for Assessing the Influence of Components in a Classifier
• Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
• Approximation Theorems of Mathematical Statistics
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Sure Independence Screening for Ultrahigh Dimensional Feature Space