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...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2011
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