Artikel,

Penalized estimation of hierarchical Archimedean copula

, und .
Journal of Multivariate Analysis, (2023)Publisher Copyright: © 2023.
DOI: 10.1016/j.jmva.2023.105274

Zusammenfassung

This manuscript discusses a novel estimation approach for parametric hierarchical Archimedean copula. The parameters and structure of this copula are simultaneously estimated while imposing a non-concave penalty on differences between parameters which coincides with an implicit penalty on the copula's structure. The asymptotic properties of the resulting penalized estimator are studied and small sample properties are illustrated using simulations.

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