A semiparametric and location-shift copula-based mixture model

DOI10.1007/S00357-017-9243-9zbMath1381.62186OpenAlexW2600424344MaRDI QIDQ1695097

Gildas Mazo

Publication date: 6 February 2018

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-017-9243-9

zbMATH Keywords

copulamixtureclusteringshiftlocationnonparametricsemiparametric

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Related Items (2)

Constraining kernel estimators in semiparametric copula mixture models ⋮ Gaussian-based visualization of Gaussian and non-Gaussian-based clustering

Uses Software

• mclust
• ks
• AS 136
• CopulaModel

Cites Work

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• A new look at the statistical model identification
• Model-Based Clustering, Classification, and Density Estimation Using mclust in R

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