Generalized degrees of freedom and adaptive model selection in linear mixed-effects models
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DOI: 10.1016/j.csda.2011.09.001
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References listed on IDEAS
- Bradley Efron, 2004. "The Estimation of Prediction Error: Covariance Penalties and Cross-Validation," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 619-632, January.
- Shen, Xiaotong & Huang, Hsin-Cheng, 2006. "Optimal Model Assessment, Selection, and Combination," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 554-568, June.
- Robert Tibshirani & Keith Knight, 1999. "The Covariance Inflation Criterion for Adaptive Model Selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(3), pages 529-546.
- Shen X. & Ye J., 2002. "Adaptive Model Selection," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 210-221, March.
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- Cristina Rueda & Miguel A. Fernández & Sandra Barragán & Kanti V. Mardia & Shyamal D. Peddada, 2016. "Circular piecewise regression with applications to cell‐cycle data," Biometrics, The International Biometric Society, vol. 72(4), pages 1266-1274, December.
- María José Lombardía & Esther López‐Vizcaíno & Cristina Rueda, 2017. "Mixed generalized Akaike information criterion for small area models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1229-1252, October.
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Keywords
Adaptive penalty; Linear mixed-effects models; Loss estimation; Generalized degrees of freedom;All these keywords.
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