Model-based clustering of Gaussian copulas for mixed data

DOI10.1080/03610926.2016.1277753zbMath1384.62198arXiv1405.1299OpenAlexW2125328011MaRDI QIDQ4605242

Vincent Vandewalle, Christophe Biernacki, Matthieu Marbac

Publication date: 21 February 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1405.1299

zbMATH Keywords

visualizationclusteringmixture modelsmixed dataGaussian copulaMetropolis-within-Gibbs algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Related Items (13)

Dissimilarity functions for rank-invariant hierarchical clustering of continuous variables ⋮ Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data ⋮ Model-based clustering ⋮ Model-based clustering using copulas with applications ⋮ Mixture models for mixed-type data through a composite likelihood approach ⋮ Model based clustering for mixed data: clustMD ⋮ Constraining kernel estimators in semiparametric copula mixture models ⋮ A semiparametric and location-shift copula-based mixture model ⋮ Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm ⋮ A mixture of regular vines for multiple dependencies ⋮ Gaussian-based visualization of Gaussian and non-Gaussian-based clustering ⋮ Model-based co-clustering for mixed type data ⋮ Multivariate time series models for mixed data

Uses Software

• MULTIMIX
• bfa

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