References
- Alfons, A., Baaske, W. E, Filzmoser, P., Mader, W., Wieser, R.. (2011). Robust variable selection with application to quality of life research. Statistical Methods & Applications 20(1):65–82.
- Alkenani, A., Yu, K. (2013). A comparative study for robust canonical correlation methods. Journal of Statistical Computation and Simulation 83(4):692–720.
- Alqallaf, F. A., Konis, K. P, Martin, R. D., Zamar, R. H. (2002). Scalable robust covariance and correlation estimates for data mining. Paper presented at the Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
- Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.. (2004). Least angle regression. The Annals of Statistics 32(2):407–499.
- Freund, Y., Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of computer and system sciences 55(1):119–139.
- Hastie, T., Tibshirani, R., Friedman, J. (2001). The Elements of Statistical Learning; Data mining, Inference and Prediction. New York: Springer Verlag.
- Hesterberg, T., Choi, Nam H., Meier, L., Fraley, C.. (2008). Least angle and L1 penalized regression: A review. Statistics Surveys 2:61–93.
- Khan, J. A, Van A. S., Zamar, R. H. (2007a). Building a robust linear model with forward selection and stepwise procedures. Computational Statistics & Data Analysis 52(1):239–248.
- Khan, J. A, Van, A. S., Zamar, R. H. (2007b). Robust linear model selection based on least angle regression. Journal of the American Statistical Association 102(480):1289–1299.
- Lopuhaa, H. P. (1999). Asymptotics of reweighted estimators of multivariate location and scatter. Annals of Statistics (27)5:1638–1665.
- Maronna, R. A. (1976). Robust M-estimators of multivariate location and scat-ter. Annals of Statistics 4:5167.
- Meinshausen, N., Buhlmann, P. (2010). Stability selection. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72(4):417–473.
- Mendenhall, W., Sincich, T., Boudreau, N. S. (1996). A Second Course in Statistics: Regression Analysis. Vol. 5. Upper Saddle River, New Jersey: Prentice Hall.
- Olive, D. J., Hawkins, D. M. (2010). Robust multivariate location and dispersion. Preprint, see (www.math.siu.edu/olive/preprints.htm).
- Ozdemir, A., Wilcox, R. (2012). New results on the small-sample properties of some robust univariate estimators of location. Communications in Statistics-Simulation and Computation 41(9):1544–1556.
- Rousseeuw, P. J., Van Driessen, K. (1999). A Fast Algorithm for the Minimum Covariance Determinant Estimator. Technometrics 41:212–223.
- Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological) 58(1):267–288.
- Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. Annals of Statistics 15(2):642–656.
- Zhang, J., Olive, D. J., Ye, P. (2012). Robust covariance matrix estimation with canonical correlation analysis. International Journal of Statistics and Probability 1(2):119.