The Parametrical Bootstrap, Is It Really Important?

The parametric bootstrap is essentially the usual sort of frequentist way of simulating these things. So certainly you don't have to be a Bayesian and have a posterior distribution to propagate forward the uncertainty or parameters. And simulations are things that increasingly people are doing on, you know, in the basements of their own home. This is a common method. And a lot of folks aren't getting it right.