On the Underfitting and Overfitting Sets of Models Chosen by Order Selection Criteria
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Cited by:
- Verzelen, Nicolas, 2010. "Data-driven neighborhood selection of a Gaussian field," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1355-1371, May.
- Giovanna Jona Lasinio & Francesco Lagona, 2002. "Selection of the neighborhood structure for space-time Markov random field models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(3), pages 293-311, October.
- Lee, Yoonseok & Phillips, Peter C.B., 2015.
"Model selection in the presence of incidental parameters,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
- Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Cowles Foundation Discussion Papers 1919, Cowles Foundation for Research in Economics, Yale University.
- Yoonseok Lee & Peter C.B. Phillips, 2013. "Model Selection in the Presence of Incidental Parameters," Center for Policy Research Working Papers 159, Center for Policy Research, Maxwell School, Syracuse University.
- Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
- Antoine Chambaz & Judith Rousseau, 2005. "Nonasymptotic Bounds for Bayesian Order Identification with Application to Mixtures," Working Papers 2005-27, Center for Research in Economics and Statistics.
- Zheng Yuan & Debashis Ghosh, 2008. "Combining Multiple Biomarker Models in Logistic Regression," Biometrics, The International Biometric Society, vol. 64(2), pages 431-439, June.
- Lv, Qichao & Rashidi-Khaniabadi, Ali & Zheng, Rong & Zhou, Tongke & Mohammadi, Mohammad-Reza & Hemmati-Sarapardeh, Abdolhossein, 2023. "Modelling CO2 diffusion coefficient in heavy crude oils and bitumen using extreme gradient boosting and Gaussian process regression," Energy, Elsevier, vol. 275(C).
- Xavier Guyon & Cécile Hardouin, 2014. "Misparametrization subsets for penalized least squares model selection," Statistical Inference for Stochastic Processes, Springer, vol. 17(3), pages 283-294, October.
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Keywords
model selection AIC BIC underfitting and overfitting weak consistency strong consistency regressions and autoregressions Markov fields stable law;Statistics
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