The Pitman–Yor multinomial process for mixture modelling

DOI10.1093/biomet/asaa030zbMath1457.62095OpenAlexW3035656905MaRDI QIDQ5145703

Antonio Lijoi, Tommaso Rigon, Igor Prünster

Publication date: 21 January 2021

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asaa030

zbMATH Keywords

Pitman-Yor processexchangeable random partitionBayesian nonparametric inferencespecies sampling modelconvex mixture regressionratio-stable distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items (6)

Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis ⋮ Dynamic mixed models with heterogeneous covariance components using multivariate GARCH innovations and the Dirichlet process mixture ⋮ Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data ⋮ On quasi-infinitely divisible random measures ⋮ Bayesian Modeling of Sequential Discoveries ⋮ Gibbs Sampling for Mixtures in Order of Appearance: The Ordered Allocation Sampler

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