A simple model-free survival conditional feature screening
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Publication:1726861
DOI10.1016/J.SPL.2018.11.019zbMath1450.62129OpenAlexW2901042189MaRDI QIDQ1726861
Yi Liu, Xiaojing Chen, Xiao-Lin Chen, Ya-hui Zhang
Publication date: 20 February 2019
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2018.11.019
survival datasure screening propertyconditional feature screeningconsistency in rankingultra-high dimensionality
Related Items (7)
Model-free survival conditional feature screening ⋮ Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates ⋮ Conditional distance correlation sure independence screening for ultra-high dimensional survival data ⋮ Joint model-free feature screening for ultra-high dimensional semi-competing risks data ⋮ Model-free feature screening for ultra-high dimensional competing risks data ⋮ Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error ⋮ On correlation rank screening for ultra-high dimensional competing risks data
Cites Work
- Principled sure independence screening for Cox models with ultra-high-dimensional covariates
- Correlation rank screening for ultrahigh-dimensional survival data
- Adaptive conditional feature screening
- Robust feature screening for ultra-high dimensional right censored data via distance correlation
- Conditional screening for ultra-high dimensional covariates with survival outcomes
- Model-free feature screening for ultrahigh dimensional censored regression
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Quantile screening for ultra-high-dimensional heterogeneous data conditional on some variables
- Independent Screening for Single-Index Hazard rate Models with Ultrahigh Dimensional Features
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