REFERENCES
- Beran, R.J. (1997), “Diagnosing Bootstrap Success,” Annals of the Institute of Statistical Mathematics, 4, 1–24.
- Chatterjee, A., and Lahiri, S.N. (2011), “Bootstrapping Lasso Estimators,” Journal of the American Statistical Association, 106, 608–625.
- Fan, J., and Lv, J. (2008), “Sure Independence Screening for Ultrahigh Dimensional Feature Space” (with discussion), Journal of the Royal Statistical Society, Series B, 70, 849–912.
- Fan, J., Samworth, R., and Wu, Y. (2009), “Ultrahigh Dimensional Feature Selection: Beyond the Linear Model,” Journal of Machine Learning Research, 10, 2013–2038.
- Goeman, J.J., van de Geer, S.A., and van Houwelingen, H.C. (2006), “Testing Against a High Dimensional Alternative,” Journal of the Royal Statistical Society, 68, 477–493.
- Laber, E., and Murphy, S.A. (2011), “Adaptive Confidence Intervals for the Test Error in Classification” (with discussion), Journal of the American Statistical Association, 106, 904–913.
- Meinshausen, N., and Bühlmann, P. (2010), “Stability Selection” (with discussion), Journal of the Royal Statistical Society, Series B, 72, 417–473.
- Samworth, R. (2003), “A Note on Methods of Restoring Consistency to the Bootstrap,” Biometrika, 90, 985–990.
- ——— (2005), “Small Confidence Sets for the Mean of a Spherically Symmetric Distribution,” Journal of the Royal Statistical Society, Series B, 67, 343–361.
- Shah, R.D., and Samworth, R.J. (2013), “Variable Selection With Error Control: Another Look at Stability Selection,” Journal of the Royal Statistical Society, Series B, 75, 55–80.