On Structure Priors for Learning Bayesian Networks

Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto

Abstract: To learn a Bayesian network structure from data, one popular approach is to maximize a decomposable likelihood-based score. While various scores have been proposed, they usually assume a uniform pr...