Yeah but in this case it's really a wrong way to think about it.
If you have a DAG based on wrong assumptions, it doesn't matter whether you get a point estimate based on null hypothesis thinking or whether you get a posterior distribution based on some prior. The problem is that the way in which you combine variables is wrong, and bayesian analysis will just be more detailed and precise in being wrong.
If you have a DAG based on wrong assumptions, it doesn't matter whether you get a point estimate based on null hypothesis thinking or whether you get a posterior distribution based on some prior. The problem is that the way in which you combine variables is wrong, and bayesian analysis will just be more detailed and precise in being wrong.