References in zbMATH (referenced in 36 articles , 1 standard article )

Showing results 1 to 20 of 36.
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  1. Bagdonavičius, Vilijandas; Petkevičius, Linas: A new multiple outliers identification method in linear regression (2020)
  2. Boudt, Kris; Rousseeuw, Peter J.; Vanduffel, Steven; Verdonck, Tim: The minimum regularized covariance determinant estimator (2020)
  3. Chakraborty, Arnab; Lahiri, Soumendra Nath; Wilson, Alyson: A statistical analysis of noisy crowdsourced weather data (2020)
  4. Cevallos-Valdiviezo, Holger; Van Aelst, Stefan: Fast computation of robust subspace estimators (2019)
  5. Rahaman, Md. Matiur; Mollah, Md. Nurul Haque: Robustification of Gaussian Bayes classifier by the minimum (\beta)-divergence method (2019)
  6. Archimbaud, Aurore; Nordhausen, Klaus; Ruiz-Gazen, Anne: ICS for multivariate outlier detection with application to quality control (2018)
  7. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  8. Bali, Juan Lucas; Boente, Graciela: Robust estimators under a functional common principal components model (2017)
  9. Alashwali, Fatimah; Kent, John T.: The use of a common location measure in the invariant coordinate selection and projection pursuit (2016)
  10. Denhere, Melody; Billor, Nedret: Robust principal component functional logistic regression (2016)
  11. Kosiorowski, Daniel: Dilemmas of robust analysis of economic data streams (2016)
  12. Leung, Andy; Zhang, Hongyang; Zamar, Ruben: Robust regression estimation and inference in the presence of cellwise and casewise contamination (2016)
  13. Morris, Katherine; McNicholas, Paul D.: Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (2016)
  14. Schmitt, Eric; Vakili, Kaveh: The FastHCS algorithm for robust PCA (2016)
  15. Alkan, B. Bariş; Atakan, Cemal; Alkan, Nesrin: A comparison of different procedures for principal component analysis in the presence of outliers (2015)
  16. Dürre, Alexander; Vogel, Daniel; Fried, Roland: Spatial sign correlation (2015)
  17. Hubert, Mia; Rousseeuw, Peter; Vanpaemel, Dina; Verdonck, Tim: The DetS and DetMM estimators for multivariate location and scatter (2015)
  18. Liebscher, Steffen; Kirschstein, Thomas: Efficiency of the pMST and RDELA location and scatter estimators (2015)
  19. Bertsimas, Dimitris; Mazumder, Rahul: Least quantile regression via modern optimization (2014)
  20. Fernández-Delgado, Manuel; Cernadas, Eva; Barro, Senén; Amorim, Dinani: Do we need hundreds of classifiers to solve real world classification problems? (2014)

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