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20092025
most citedLearning Bayesian Networks with the bnlearn R Package

100 citations · 207 across the 28 of their papers we have counts for

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2 papers · 1 filter

stat.ML2022★ 2 cited

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…

stat.ME2022

Comments on: "Hybrid Semiparametric Bayesian Networks"

Marco Scutari

Invited discussion on the paper "Hybrid Semiparametric Bayesian Networks" by David Atienza, Pedro Larranaga and Concha Bielza (TEST, 2022).