2 papers
physics.data-an2019
The Probabilistic Backbone of Data-Driven Complex Networks: An example in Climate
Catharina Graafland, José M. Gutiérrez, Juan M. López +2
Correlation Networks (CNs) inherently suffer from redundant information in their network topology. Bayesian Networks (BNs), on the other hand, include only non-redundant informatio…
stat.ME2018
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms
Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
Three classes of algorithms to learn the structure of Bayesian networks from data are common in the literature: constraint-based algorithms, which use conditional independence test…