Deep survival algorithm based on nuclear norm

DOI10.1080/00949655.2021.2015770OpenAlexW4207023435MaRDI QIDQ5086082

Xuejing Zhao, Jianyang Tong

Publication date: 1 July 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.2015770

zbMATH Keywords

survival analysisnuclear normdeep learningconcordance indexmissing data complementNN-DeepSurv

Mathematics Subject Classification ID

Censored data models (62N01) Statistics (62-XX)

Uses Software

• ElemStatLearn
• Adam
• DeepSurv

Cites Work

• Unnamed Item
• Random survival forests
• Methods of \(L_ 1\) estimation of a covariance matrix
• Principal component analysis.
• Exact matrix completion via convex optimization
• Tensor Regression with Applications in Neuroimaging Data Analysis
• Variable selection for semiparametric proportional hazards model under progressive Type-II censoring