[LudwigNagasena]

That's not a Bayesian point of view. You can re-word it in terms of a confidence interval / coverage probability. It is true that in frequentist statistics parameters don't have probability distributions, but their estimators very much do. And one of the main properties of a good estimator is formulated in terms of convergence in probability to the true parameter value (consistency).