A note of feature screening via a rank-based coefficient of correlation
From MaRDI portal
Publication:6594162
DOI10.1002/bimj.202100373zbMATH Open1544.62322MaRDI QIDQ6594162
Publication date: 28 August 2024
Published in: Biometrical Journal (Search for Journal in Brave)
predictiongene expressiongeneralized additive modelssure screening propertyultrahigh-dimensional data
Cites Work
- Unnamed Item
- Sure independence screening in generalized linear models with NP-dimensionality
- A new coefficient of correlation
- Robust rank correlation based screening
- Weak convergence and empirical processes. With applications to statistics
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
- Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error
- Model-free feature screening for ultrahigh dimensional classification
- Multiclass analysis and prediction with network structured covariates
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Concordance Measure-based Feature Screening and Variable Selection
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Feature Screening via Distance Correlation Learning
- Copula-based Partial Correlation Screening: a Joint and Robust Approach
- On the power of Chatterjee’s rank correlation
- Conditional quantile screening in ultrahigh-dimensional heterogeneous data
- The Kolmogorov filter for variable screening in high-dimensional binary classification
- The Elements of Statistical Learning
Related Items (2)
Feature screening via concordance indices for left-truncated and right-censored survival data ⋮ Estimation of graphical models: an overview of selected topics
This page was built for publication: A note of feature screening via a rank-based coefficient of correlation
