Lq-based robust analytics on ultrahigh and high dimensional data

DOI10.1002/SIM.9563zbMATH Open1547.62177MaRDI QIDQ6629364

Jiachen Chen, Shuangge Ma, Yichen Qin, Ruofan Bie, Yang Li

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

variable selectionscreeningcontaminationLq entropySKCM

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• Model-Free Feature Screening for Ultrahigh-Dimensional Data
• Sure independence screening in generalized linear models with NP-dimensionality
• The Adaptive Lasso and Its Oracle Properties
• Robust rank correlation based screening
• Robust model-free feature screening via quantile correlation
• One-step sparse estimates in nonconcave penalized likelihood models
• SCAD-penalized regression in high-dimensional partially linear models
• Sparse least trimmed squares regression for analyzing high-dimensional large data sets
• Maximum L\(q\)-likelihood estimation
• Maximum Lq-Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models
• 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
• Structured gene‐environment interaction analysis
• Integrative interaction analysis using threshold gradient directed regularization
• Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials

This page was built for publication: Lq-based robust analytics on ultrahigh and high dimensional data

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6629364)