A characterization of the dirichlet distribution with application to learning Bayesian networks

Authors:
Dan Geiger;David Heckerman
Affiliations:
Computer Science Department, Technion, Haifa, Israel;Microsoft Research, Redmond, WA
Venue:
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Year:
1995

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Abstract

We provide a new characterization of the Dirichlet distribution. This characterization implies that under assumptions made by several previous authors for learning belief networks, a Dirichlet prior on the parameters is inevitable.