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Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap

, , and . Journal of the American Statistical Association, 101 (475): 1198-1211 (2006)

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The Deepest Fit., and . COMPSTAT, page 437-442. Springer, (1998)Robust Principal Component Analysis Based on Pairwise Correlation Estimators., , and . COMPSTAT, page 573-580. Physica-Verlag, (2010)Robust and sparse logistic regression., , , and . Adv. Data Anal. Classif., 18 (3): 663-679 (September 2024)Bounded influence regression using high breakdown scatter matrices, , and . Annals of the Institute of Statistical Mathematics, 55 (2): 265--285 (June 2003)Multi-model subset selection., , and . Comput. Stat. Data Anal., (2025)Fast computation of robust subspace estimators., and . Comput. Stat. Data Anal., (2019)Sparse Principal Component Analysis Based on Least Trimmed Squares., and . Technometrics, 62 (4): 473-485 (2020)Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function., and . Int. J. Approx. Reason., (2018)Tukey's Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location., and . SMPS, volume 456 of Advances in Intelligent Systems and Computing, page 447-454. Springer, (2016)A Stahel-Donoho estimator based on huberized outlyingness., , and . Comput. Stat. Data Anal., 56 (3): 531-542 (2012)