Detection of influential points as a byproduct of resampling-based variable selection procedures
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DOI: 10.1016/j.csda.2017.07.001
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- Riccardo De Bin & Silke Janitza & Willi Sauerbrei & Anne-Laure Boulesteix, 2016. "Subsampling versus bootstrapping in resampling-based model selection for multivariable regression," Biometrics, The International Biometric Society, vol. 72(1), pages 272-280, March.
- Anthony C. Atkinson, 2002. "Forward search added-variable t-tests and the effect of masked outliers on model selection," Biometrika, Biometrika Trust, vol. 89(4), pages 939-946, December.
- Nicolai Meinshausen & Peter Bühlmann, 2010. "Stability selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 417-473, September.
- Royston, P. & Sauerbrei, W., 2007. "Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4240-4253, May.
- Wan, Alan T.K. & Zhang, Xinyu & Zou, Guohua, 2010. "Least squares model averaging by Mallows criterion," Journal of Econometrics, Elsevier, vol. 156(2), pages 277-283, June.
- Hansen, Bruce E. & Racine, Jeffrey S., 2012. "Jackknife model averaging," Journal of Econometrics, Elsevier, vol. 167(1), pages 38-46.
- Willems, Gert & Van Aelst, Stefan, 2005. "Fast and robust bootstrap for LTS," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 703-715, April.
- Billor, Nedret & Hadi, Ali S. & Velleman, Paul F., 2000. "BACON: blocked adaptive computationally efficient outlier nominators," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 279-298, September.
- Bruce E. Hansen, 2007. "Least Squares Model Averaging," Econometrica, Econometric Society, vol. 75(4), pages 1175-1189, July.
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Keywords
Bootstrap; Grubbs’ test; Inclusion frequency; Model averaging; Outliers; Subsampling;All these keywords.
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