Dependent mixture models: Clustering and borrowing information

Most of the Bayesian nonparametric models for non-exchangeable data that are used in applications are based on some extension to the multivariate setting of the Dirichlet process, the best known being MacEachern’s dependent Dirichlet process. A comparison of two recently introduced classes of vector...

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Veröffentlicht in:	Computational statistics & data analysis 2014-03, Vol.71, p.417-433
Hauptverfasser:	Lijoi, Antonio, Nipoti, Bernardo, Prünster, Igor
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian nonparametrics Clustering Computer simulation Data processing Dependent process Dirichlet problem Dirichlet process Generalized Pólya urn scheme Mathematical analysis Mathematical models Mixture models Normalized [formula omitted]-stable process Partially exchangeable random partition Statistics Vectors (mathematics)
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