Let's assume that we have a dataset of variables (random events)I apriori would like to set dependency conditions between some of them and perform structure learning to figure out the rest of the Bayesian network.
How can this be done practically (e.g. some libraries, like bnlearn) or, at least, in theory?
I was trying to google it, but haven't found anything related.