A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks
classification
💻 cs.AI
cs.LG
keywords
characterizationdirichletdistributionlearningnetworksapplicationassumptionsauthors
read the original 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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.