Model-free slice screening for ultrahigh-dimensional survival data

DOI10.1080/02664763.2020.1772734OpenAlexW3033892312MaRDI QIDQ5861483

Jing Zhang, Yan Yan Liu

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1772734

zbMATH Keywords

censoringultrahigh-dimensional survival dataslice methodfused Kolmogorov-Smirnov filtersure independent screening property

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• uniCox

Cites Work

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• 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
• Marginal empirical likelihood and sure independence feature screening
• Robust rank correlation based screening
• Principled sure independence screening for Cox models with ultra-high-dimensional covariates
• Censored cumulative residual independent screening for ultrahigh-dimensional survival data
• Model-free feature screening for ultrahigh dimensional censored regression
• Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• 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
• Linear regression with censored data
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Feature Screening via Distance Correlation Learning
• Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models
• Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
• Robust feature screening for high-dimensional survival data
• Independent Screening for Single-Index Hazard rate Models with Ultrahigh Dimensional Features
• Quantile-adaptive variable screening in ultra-high dimensional varying coefficient models
• A robust variable screening method for high-dimensional data
• Conditional quantile screening in ultrahigh-dimensional heterogeneous data

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