Dear Sirs,
I have a question concerning the equivalence classes of Bayesian
Networks. Since learning of Bayesian Networks can find correct network
structures up to their equivalence classes, so that in a one found
network some arcs can be reversible, how reliable is then the
probability assessement given evidence (belief updating) in the learned
Bayesian Network?
One more question. I know that there exists an algorithm of Chickering
transferring a DAG into PDAG that defines uniquely the equivalence class
of DAG. Is there any software to do this automatically?
Thank you very much for the help,
Svetlana Bulashevska, Ph.D. Student
