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...

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書目詳細資料
Main Authors: Bornn, L, Caron, F
格式: Journal article
語言:English
出版: 2011