100 citations · 207 across the 28 of their papers we have counts for
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math.ST2017
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle
Marco Scutari
A classic approach for learning Bayesian networks from data is to identify a maximum a posteriori (MAP) network structure. In the case of discrete Bayesian networks, MAP networks a…
stat.ML2017★ 3 cited
Beyond Uniform Priors in Bayesian Network Structure Learning
Marco Scutari
Bayesian network structure learning is often performed in a Bayesian setting, evaluating candidate structures using their posterior probabilities for a given data set. Score-based…
stat.AP2017
Bayesian Networks Analysis of Malocclusion Data
Marco Scutari, Pietro Auconi, Guido Caldarelli +1
In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start…