The sequence of distributions that converges weakly to π

We are very grateful to all the reviewers for their thoughtful feedback. All typos and minor points will also be fixed. Prop. 3 implies that any inference problem can be decomposed into a sequence of Another consideration, as highlighted by the example of 4.3, is that reducing the Bayesian computation, as the two methods have different computational cost patterns. This is required for each optimization step as well. Currently, however, we haven't found problems where the basis derived from H In the discussion after Prop. 1, we should have The phrase "lack of precision" in 4.4 refers to the finite number of samples drawn from