Robust model selection with covariables missing at random
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Publication:2135520
DOI10.1007/s10463-021-00806-2OpenAlexW3204639355MaRDI QIDQ2135520
Yuting Wei, Zhong-qi Liang, Qi Hua Wang
Publication date: 9 May 2022
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-021-00806-2
robustmodel selectionKullback-Leibler divergencemissing at randommodel misspecificationinverse probability weight
Cites Work
- Unnamed Item
- Fence methods for mixed model selection
- Econometric specification of stochastic discount factor models
- A beyond multiple robust approach for missing response problem
- Estimating the dimension of a model
- Asymptotic nonequivalence of GARCH models and diffusions
- Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random
- Model Selection and Model Averaging
- Variable Selection with Incomplete Covariate Data
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- The Focused Information Criterion
- Model Selection for Estimating Treatment Effects
- The E-MS Algorithm: Model Selection With Incomplete Data
- Oracally Efficient Estimation and Consistent Model Selection for Auto-Regressive Moving Average Time Series with Trend
- Model Selection Criteria for Missing-Data Problems Using the EM Algorithm
- Some Comments on C P
- Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data
- A Generalization of Sampling Without Replacement From a Finite Universe
- Deviance information criteria for missing data models
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