Toward an objective and reproducible model choice via variable selection deviation
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Publication:5347399
DOI10.1111/biom.12554zbMath1366.62247OpenAlexW2474224083WikidataQ38847269 ScholiaQ38847269MaRDI QIDQ5347399
Publication date: 23 May 2017
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/biom.12554
Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)
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Cites Work
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- Nearly unbiased variable selection under minimax concave penalty
- Cross-validation for selecting a model selection procedure
- Estimating the dimension of a model
- Extended Bayesian information criteria for model selection with large model spaces
- Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
- Information Theory and Mixing Least-Squares Regressions
- Model Selection: An Integral Part of Inference
- Adaptive Regression by Mixing
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
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