When reading and watching video regarding building and using Bayes Nets, the examples typically use binary outcomes for the nodes.
'Probability of it raining', 'Probability of x disease', ect...
With those types of nodes it is easy to derive the conditional probability table. However, what do you do when you have continuous variables with many conditional variables or a more complicated binary model?
Would you use standard regression techniques like OLS and Logistic regression to estimated the nodes of a Bayes Net?
Or what other methods might one use?