3 papers
stat.ME2026
A unified approach to outlier identification for mixed-type data
Efthymios Costa, Christian Hennig
We present an outlier identification method for mixed type data sets comprising continuous and ordinal variables. We define outliers based on using a multivariate Gaussian distribu…
stat.ME2024
The quantile-based classifier with variable-wise parameters
Marco Berrettini, Christian Hennig, Cinzia Viroli
Quantile-based classifiers can classify high-dimensional observations by minimising a discrepancy of an observation to a class based on suitable quantiles of the within-class distr…
stat.ME2013
Quantile-based classifiers
Christian Hennig, Cinzia Viroli
Quantile classifiers for potentially high-dimensional data are defined by classifying an observation according to a sum of appropriately weighted component-wise distances of the co…