p-value testing is problematic, but frequentist CIs typically map to credible intervals with uninformative priors. In practice in Bayesian analyses tend to use

p-value testing is problematic, but frequentist CIs typically map to credible intervals with uninformative priors. In practice in Bayesian analyses tend to use so weak priors that they are essentially uninformative. Maximum likelihood also tends to be equivalent to MAP with uninformative priors. I find a lot of Bayesian analysis is a bit of cargo culting and frequentist/ML formulations are dismissed with tribalism.