A selective overview of feature screening methods with applications to neuroimaging data
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Publication:6600362
DOI10.1002/WICS.1454zbMATH Open1544.6206MaRDI QIDQ6600362
Kevin X. He, Jian Kang, Han Xu
Publication date: 9 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
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Cites Work
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- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- Robust rank correlation based screening
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Conditional screening for ultra-high dimensional covariates with survival outcomes
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Optimality of Graphlet Screening in High Dimensional Variable Selection
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Score test variable screening
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- High Dimensional Variable Selection via Tilting
- Partial Correlation Estimation by Joint Sparse Regression Models
- Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
- High Dimensional Ordinary Least Squares Projection for Screening Variables
- Partition-based ultrahigh-dimensional variable screening
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