The epistemic uncertainty can be reduced as we increase the size of the training data. That is, the more data the BNN model sees, the more it is certain about its estimates for the weights (distribution parameters). Let's test this behaviour by training the BNN model on a small subset of the training set, and then on the full training set, to compare the output variances.