Model‐free conditional screening for ultrahigh‐dimensional survival data via conditional distance correlation
From MaRDI portal
Publication:6141306
DOI10.1002/bimj.202200089zbMath1528.62062OpenAlexW4311824941MaRDI QIDQ6141306
Heng-Jian Cui, Jing Zhang, Guang Cai Mao, Yan Yan Liu
Publication date: 4 January 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.202200089
sure screening propertymodel-free screeningultrahigh-dimensional survival dataconditional distance correlation
Cites Work
- Unnamed Item
- Unnamed Item
- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- Nearly unbiased variable selection under minimax concave penalty
- Model-free sure screening via maximum correlation
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Censored cumulative residual independent screening for ultrahigh-dimensional survival data
- Correlation rank screening for ultrahigh-dimensional survival data
- A new nonparametric screening method for ultrahigh-dimensional survival data
- Conditional screening for ultra-high dimensional covariates with survival outcomes
- Model-free feature screening for ultrahigh dimensional censored regression
- Model-free feature screening for ultrahigh-dimensional data conditional on some variables
- Model-free feature screening via distance correlation for ultrahigh dimensional survival data
- Model-free conditional screening via conditional distance correlation
- Conditional sure independence screening by conditional marginal empirical likelihood
- The fused Kolmogorov filter: a nonparametric model-free screening method
- Univariate Shrinkage in the Cox Model for High Dimensional Data
- Censored rank independence screening for high-dimensional survival data
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Feature Screening via Distance Correlation Learning
- Quantile screening for ultra-high-dimensional heterogeneous data conditional on some variables
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
- Independent Screening for Single-Index Hazard rate Models with Ultrahigh Dimensional Features
- A Generic Sure Independence Screening Procedure
- Conditional quantile screening in ultrahigh-dimensional heterogeneous data
- Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
- Conditional Distance Correlation
This page was built for publication: Model‐free conditional screening for ultrahigh‐dimensional survival data via conditional distance correlation
