Mallows model averaging estimation for linear regression model with right censored data

DOI10.1007/s10255-022-1054-zzbMath1493.62426OpenAlexW4210810163MaRDI QIDQ2115208

Zhong-qi Liang, Yan-qiu Zhou, Xiao-Lin Chen

Publication date: 15 March 2022

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-022-1054-z

zbMATH Keywords

right censoringasymptotic optimalitymodel averagingsynthetic data

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Censored data models (62N01)

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Cites Work

• Unnamed Item
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• Least squares model averaging by Mallows criterion
• A weight-relaxed model averaging approach for high-dimensional generalized linear models
• Jackknife model averaging
• Sparse estimation and inference for censored median regression
• Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
• Regression analysis with randomly right-censored data
• Asymptotic normality of the `synthetic data' regression estimator for censored survival data
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Model averaging for linear models with responses missing at random
• Model selection and model averaging for analysis of truncated and censored data with measurement error
• Frequentist model averaging estimation for the censored partial linear quantile regression model
• Focused information criterion and model averaging in censored quantile regression
• Model averaging by jackknife criterion in models with dependent data
• Model averaging with covariates that are missing completely at random
• Nonparametric Estimation from Incomplete Observations
• Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model
• Model Selection and Model Averaging
• A Model-Averaging Approach for High-Dimensional Regression
• FIC model selection and model averaging for linear model with censored response
• Heteroscedasticity‐robustCpmodel averaging
• Optimal Model Averaging Estimation for Partially Linear Models
• A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
• The E-MS Algorithm: Model Selection With Incomplete Data
• Model averaging and weight choice in linear mixed-effects models
• Least Squares Model Averaging