Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model

DOI10.1111/ANZS.12067zbMath1334.62128OpenAlexW2164083043MaRDI QIDQ2802858

Katrina Tomanelli, Abdulkadir Hussein, Sévérien Nkurunziza

Publication date: 27 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12067

zbMATH Keywords

James-Stein estimatorridge regressionLASSOintegrated mean squared error

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (3)

Penalty and related estimation strategies in the spatial error model ⋮ Generalized log-logistic proportional hazard model: a non-penalty shrinkage approach ⋮ Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model

Cites Work

• Unnamed Item
• Absolute penalty and shrinkage estimation in partially linear models
• Cox's regression model for counting processes: A large sample study
• Dynamic regression models for survival data.
• Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model
• SHRINKAGE, PRETEST AND ABSOLUTE PENALTY ESTIMATORS IN PARTIALLY LINEAR MODELS
• Theory of Preliminary Test and Stein‐Type Estimation With Applications

This page was built for publication: Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model