Bayesian clustering in decomposable graphs

Bayesian clustering in decomposable graphs

In this paper we propose a class of prior distributions on decomposable graphs, allowing for improved modeling flexibility. While existing methods solely penalize the number of edges, the proposed work empowers practitioners to control clustering, level of separation, and other features of the graph...

書誌詳細
主要な著者:	Bornn, L, Caron, F
フォーマット:	Journal article
言語:	English
出版事項:	2011

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