ListarArtículos presentados, aceptados y publicados por tema "Depth measures"
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Density kernel depth for outlier detection in functional data
(Springer NatureInternational Journal of Data Science and Analytics, 2023)In this paper, we propose a novel approach to address the problem of functional outlier detection. Our method leverages a low-dimensional and stable representation of functions using Reproducing Kernel Hilbert Spaces ...