Cellwise and Casewise Robust Covariance in High Dimensions.

Kernel outlier detection.

Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation.

Class Maps for Visualizing Classification Results.

Outlier detection in non-elliptical data by kernel MRCD.

Outlier detection in non-elliptical data by kernel MRCD.

Visualizing classification results.

MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers.

Anomaly detection by robust statistics.

Fast robust SUR with economical and actuarial applications.

Multivariate and functional classification using depth and distance.

Sparse PCA for High-Dimensional Data With Outliers.

Rejoinder to 'multivariate functional outlier detection'.

Multivariate functional outlier detection.

The DetS and DetMM estimators for multivariate location and scatter.

Detecting influential data points for the Hill estimator in Pareto-type distributions.

Phase and amplitude-based clustering for functional data.

Editorial for the special issue on quantile regression and semiparametric methods.

Robust statistics for outlier detection.

Robustness of reweighted Least Squares Kernel Based Regression.

Detecting influential observations in Kernel PCA.

Robust classification for skewed data.

Robust PCA for skewed data and its outlier map.

Goodness-of-fit tests based on a robust measure of skewness.

An adjusted boxplot for skewed distributions.

Censored depth quantiles.

A robust estimator for the tail index of Pareto-type distributions.

Fast cross-validation of high-breakdown resampling methods for PCA.

Robust learning from bites for data mining.

Robust measures of tail weight.

ROBPCA: A New Approach to Robust Principal Component Analysis.

Fast and robust discriminant analysis.

Robust PCA and classification in biosciences.

Depth in an Arrangement of Hyperplanes.