23 citations · 26 across the 9 of their papers we have counts for
3 papers · 1 filter
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
Marco Scutari, Christopher Marquis, Laura Azzimonti
We commonly assume that data are a homogeneous set of observations when learning the structure of Bayesian networks. However, they often comprise different data sets that are relat…
A Bayesian Hierarchical Score for Structure Learning from Related Data Sets
Laura Azzimonti, Giorgio Corani, Marco Scutari
Score functions for learning the structure of Bayesian networks in the literature assume that data are a homogeneous set of observations; whereas it is often the case that they com…
Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables
L. Azzimonti, G. Corani, M. Zaffalon
We present a novel approach for estimating conditional probability tables, based on a joint, rather than independent, estimate of the conditional distributions belonging to the sam…