The MAP estimator has good asymptotic properties, even for difficult problems: for regular problems, where the maximum-likelihood estimator is consistent, the maximum-likelihood estimator ultimately agrees with the MAP estimator.
The MAP estimator has good asymptotic properties for difficult problems: for regular problems. This is even. The maximum-likelihood estimator is consistent, the maximum-likelihood estimator ultimately agrees with the MAP estimator.