Outlier detection in multivariate functional data based on a geometric aggregation
Outlier detection in multivariate functional data based on a geometric aggregation
The increasing ubiquity of multivariate functional data (MFD) requires methods that can properly detect outliers within such data, where a sample corresponds to $p>1$ parameters observed with respect to (w.r.t) a continuous variable (extit{e.g.} time). We improve the outlier detection in MFD by adopting a geometric view on the data …