A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks

Dan Geiger; David Heckerman

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks

Dan Geiger ,
David Heckerman

UAI-P-1995-PG-196-207 | August 1995

Real-Time Graphics Architectures, Algorithms, and Programming Systems: Project Technical Report

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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.