How to perform structure learning for Bayesian network given already partially constructed Bayesian network?

Question

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.

score 0 · Answer 1 · edited Dec 13 '21 at 08:53

0

The hill climbing or the constraint-based structure learning algorithms accept whitelist or blacklist arguments permitting or prohibitting some arcs.

edited Dec 13 '21 at 08:53

nbro

39,006
12
98
176

answered Feb 22 '19 at 12:24

Sultan1991

11
2

This is an old question, but are you referring to the implementation of these algorithms from this library https://www.bnlearn.com/? Please, edit this answer to include these details. – nbro Dec 13 '21 at 08:54

How to perform structure learning for Bayesian network given already partially constructed Bayesian network?

1 Answers1