Model averaging for generalized linear models with missing at random covariates
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Publication:5880770
DOI10.1080/02331888.2022.2161094OpenAlexW4313418593MaRDI QIDQ5880770
Xiaorui Li, Weili Cheng, Xiaodong Yan, Xiao-Xia Li
Publication date: 6 March 2023
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2022.2161094
Cites Work
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- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- Least-squares forecast averaging
- A weight-relaxed model averaging approach for high-dimensional generalized linear models
- Regression with imputed covariates: a generalized missing-indicator approach
- Toward optimal model averaging in regression models with time series errors
- Model selection and model averaging after multiple imputation
- Model averaging estimation of generalized linear models with imputed covariates
- Frequentist model averaging with missing observations
- Model averaging with covariates that are missing completely at random
- Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model
- Model Selection: An Integral Part of Inference
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Semiparametric Ultra-High Dimensional Model Averaging of Nonlinear Dynamic Time Series
- A Model-Averaging Approach for High-Dimensional Regression
- Heteroscedasticity‐robustCpmodel averaging
- A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model
- Model Selection and Estimation in Regression with Grouped Variables
- Least Squares Model Averaging
- Model Selection Principles in Misspecified Models
- Model averaging for generalized linear models in fragmentary data prediction
- Model averaging based on leave-subject-out cross-validation
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