My understanding of the analysis is that the output needs to be based on some kind of simulation that gives a distribution of outcomes.
Does this need to be a true Bayesian posterior or could it be a prior distribution or sample arrived at using other means?
Obviously, it would be better if everyone went bayesian but might it be a good idea to point out that this is optional (if it is)?
My understanding of the analysis is that the output needs to be based on some kind of simulation that gives a distribution of outcomes.
Does this need to be a true Bayesian posterior or could it be a prior distribution or sample arrived at using other means?
Obviously, it would be better if everyone went bayesian but might it be a good idea to point out that this is optional (if it is)?