{"DOI":"10.5281/zenodo.5897993","abstract":"We introduce Causal Bayesian Networks as
a formalism for representing and explaining
probabilistic causal relations, review the state
of the art on learning Causal Bayesian Networks
and suggest and illustrate a research
avenue for studying pairwise identification of
causal relations inspired by graphical causality
criteria.","author":[{"family":"Jaime","given":"Jaime"}],"id":"unknown","issued":{"date-parts":[[2020,11,1]]},"publisher":"Zenodo","title":"Explaining data using causal Bayesian networks","type":"article-journal"}