Model averaging for linear models with responses missing at random
From MaRDI portal
Publication:2042525
DOI10.1007/s10463-020-00759-yzbMath1469.62205OpenAlexW3038755401MaRDI QIDQ2042525
Yuting Wei, Wei Liu, Qi Hua Wang
Publication date: 20 July 2021
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-020-00759-y
Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12) Missing data (62D10)
Related Items
A robust model averaging approach for partially linear models with responses missing at random, Mallows model averaging estimation for linear regression model with right censored data
Cites Work
- Unnamed Item
- Focused vector information criterion model selection and model averaging regression with missing response
- Least squares model averaging by Mallows criterion
- Jackknife model averaging
- Frequentist model averaging for threshold models
- Model averaging by jackknife criterion in models with dependent data
- Frequentist model averaging with missing observations
- Model averaging with covariates that are missing completely at random
- Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random
- Model Selection and Model Averaging
- Model Selection: An Integral Part of Inference
- Adaptive Regression by Mixing
- Frequentist Model Average Estimators
- How to Make Model‐free Feature Screening Approaches for Full Data Applicable to the Case of Missing Response?
- Heteroscedasticity‐robustCpmodel averaging
- 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
- Combining Linear Regression Models
- Maximum Likelihood Estimation of Misspecified Models