when does a typical posterior be based on a regularist when to make a bayesian interpretation does an mcmc sampler allow for a 'beans' interpretation? when are bayesian posteriors appropriate if a model is frequently fitting in a bayesian way which of the following will be the best prior to make it? when can a Bayesian model be used what is the posterior of a probability model fit why is it important to understand prior models in the Bayesian method when is a prior a Bayesian model when do you make a bayesian interpretation when can you interpret probability model with commonist data what makes a typical interpretation of a commonist model valid? when may i make a bayesian interpretation of posterior data when is considered a frequentist interpretation when is it possible to use a bayesian model what makes a Bayesian interpretation when is it ok to make a bayesian interpretation when can i make a bayesian interpretation when to use mcmc sampling and repeat inference when can you use bayesian interpretation of posterior