Mixture decomposition of distributions by copulas in the symbolic data analysis framework

DOI10.1016/j.dam.2004.06.018zbMath1058.62004OpenAlexW1970786503MaRDI QIDQ1766740

M. Vrac, Edwin Diday

Publication date: 8 March 2005

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.dam.2004.06.018

zbMATH Keywords

ClusteringData miningSymbolic data analysisPartitioningCopulasMixture decomposition

Mathematics Subject Classification ID

Related Items (6)

Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm ⋮ Copulas and Histogram-Valued Data ⋮ Regression model for interval-valued variables based on copulas ⋮ Copula analysis of mixture models ⋮ Far beyond the classical data models: symbolic data analysis ⋮ Unsupervised classification and analysis of objects described by nonparametric probability distributions

Cites Work

• An introduction to copulas.
• Ordinal and percentile clustering
• On the simultaneous associativity of F(x,y) and x+y-F(x,y)
• Frank's family of bivariate distributions
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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