Asymptotic approach for Bayesian inference

We study consistency and asymptotic normality of posterior distributions. We also provide the Bayesian central limit theorem, which shows that the posterior distributions concentrate in neighborhoods of a certain parameter point and can be approximated by an appropriate normal distribution.