Multivariate functional outlier detection using Invariant Component Selection

Archimbaud A., Boulfani F., Gendre X., Nordhausen K., Ruiz-Gazen A. and Virta J.

Invited

Statistical research in the private sector: possibilities and limits in business

La recherche statistique dans le privé : possibilités et limites en entreprise

Archimbaud A. and Nicolas Bousquet

Invited

Multivariate outlier detection with Mahalanobis distance and ICS (Invariant Coordinate Selection) for standard and high-dimensional data

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

ICS with positive semi-definite scatter matrices for data not in general position

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

The ICSShiny package

Archimbaud A., May J., Nordhausen K. and Ruiz-Gazen A.

Multivariate outlier detection with ICS

Archimbaud A.

High dimensional outlier screening of small dice samples for aerospace IC reliability

Archimbaud A., Soual C., Bergeret F., D’Alberto S., Thebault T. and Bonin C.

Distance de Mahalanobis et ICS pour la détection d’observations atypiques

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

ICSOutlier: An R package for unsupervised multivariate outlier detection with ICS

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Components selection for multivariate outlier detection with ICS

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Components selection for multivariate outlier detection with ICS

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Comparison of statistical methods for multivariate outlier detection with R packages

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Comparison of statistical methods for multivariate outlier detection

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Packages R pour la détection d’observations atypiques multivariées

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.

Comparison of statistical methods for multivariate outlier detection

Archimbaud A., Nordhausen K. and Ruiz-Gazen A.