Hierarchical variable clustering via copula-based divergence measures between random vectors

DOI10.1016/J.IJAR.2023.109090OpenAlexW4389396212MaRDI QIDQ6131916

Irène Gijbels, Steven De Keyser

Publication date: 18 April 2024

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2023.109090

zbMATH Keywords

copulasvariable clusteringrandom vectors\(\Phi\)-dependencetrans-elliptical distributions

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Hierarchical variable clustering based on the predictive strength between random vectors ⋮ A new ``E-E paradigm to construct multi-BPAs based belief Jensen divergence in the evidence theory ⋮ Corrigendum to: ``Shannon entropy and mutual information for multivariate skew-elliptical distributions

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