Translate external information into a prior distribution by asking for representative values, uncertainty intervals and tail probabilities. Fit parameters of a suitable distribution to those judgments and inspect the resulting prior predictive distribution. For a probability believed near , a beta distribution with parameters has the desired mean; its concentration can be chosen to match a stated probability of exceeding . The words “near” and “unlikely” alone do not specify one unique prior.
New to topics? Read the docs here!