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- W1877370679 abstract "Copulas have become a popular tool in multivariate modeling. Applications include actuarial sciences, medical and epidemiological studies and hydrologic engineering. This thesis describes an extension to the R package FlexMix for copula clustering using finite mixture models. Foremost, the theoretical background is briefly introduced, including copulas, ML-estimation in copulas and estimation in mixture models using the EM-algorithm. Gumbel–Hougaard copulas serve as example throughout the thesis. Then the usage of this implementation is demonstrated in form of a tutorial. Also, the performance of the implementation is tested in a set of simulations, in which the estimates appear to asymptotically converge to their real values. Higher values of the copula parameter θ have a positive effect on the estimation error as well, while the estimation error increases with increasing amounts of clusters." @default.
- W1877370679 created "2016-06-24" @default.
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- W1877370679 date "2010-01-01" @default.
- W1877370679 modified "2023-09-27" @default.
- W1877370679 title "Model–based Clustering with Copulas" @default.
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- W1877370679 doi "https://doi.org/10.5282/ubm/epub.11700" @default.
- W1877370679 hasPublicationYear "2010" @default.
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