This is true in some cases: maximum likelihood estimation often corresponds to MAP estimation with a certain prior (though it can be argued whether MAP estimati

This is true in some cases: maximum likelihood estimation often corresponds to MAP estimation with a certain prior (though it can be argued whether MAP estimation is truly a Bayesian concept, or just a way to transplant MLE to a Bayesian setting by using a very weird loss function). But many frequentist concepts have no Bayesian counterpart such that if you choose a particular prior you get the frequentist concept.