Bayesian clustering in decomposable graphs

DOI10.1214/11-BA630zbMath1330.62244arXiv1005.5081OpenAlexW2015590129MaRDI QIDQ2634122

François Caron, Luke Bornn

Publication date: 8 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1005.5081

zbMATH Keywords

Bayesian analysisclusteringagricultureproduct partition modelsdecomposable graphsAmerican voting

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Applications of graph theory (05C90) Perfect graphs (05C17) Graphical methods in statistics (62A09)

Related Items (7)

The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models ⋮ Bayesian Variable Selection for Gaussian Copula Regression Models ⋮ Unnamed Item ⋮ Bayesian learning of graph substructures ⋮ Comment on article by Finegold and Drton ⋮ Structural Markov graph laws for Bayesian model uncertainty ⋮ Bayesian learning of weakly structural Markov graph laws using sequential Monte Carlo methods

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