Using the posterior probabilities from previous analyses as priors for future updates in sequential inference.

Defining priors for hypotheses that are not mutually exclusive.

Setting prior probabilities equal when no prior information is available, following the principle of indifference.

Ignoring available historical data and defaulting to equal priors for convenience.

Using empirical data from past similar events to define the prior probabilities.

Assigning a prior probability of zero to hypotheses considered initially implausible.