confidence intervals

The underlying distribution can be highly skewed, even if the total number of samples in the Monte Carlo simultion is very large. This is why the Normal approximation often performs poorly in practice.

Credible intervals express our belief that the true underlying value is contained within the interval conditional on the conducted simulation run. Contrary to that, confidence intervals are only meaningful for a large number of repeated simulation runs.