Definition:Prior Probability Distribution

From ProofWiki
Jump to navigation Jump to search

Definition

In the context of Bayesian inference, a prior probability distribution is a probability distribution to which a parameter is assumed to fit, based on the experimenter's belief in the state of nature.

This may then be combined with the results of an experiment, or sequence of experiments, to provide a posterior probability distribution.


Also see

  • Results about prior probability distributions can be found here.


Sources