Mastering Bayesian Probability

The Bayesian interpretation of probability is an interpretation in which probability is seen as a reasonable expectation representing a state of knowledge or a quantification of a personal belief.

The Bayesian interpretation of probability enables reasoning with hypotheses, which are propositions whose truth or falsity is unknown.

In Bayesian probability, a probability is assigned to a hypothesis, whereas in frequentist inference, a hypothesis is typically tested without being assigned a probability.

<p>Bayesian probability belongs to the category of evidential probabilities.</p> Signup and view all the answers

<p>To evaluate the probability of a hypothesis in Bayesian probability, the Bayesian probabilist specifies a prior probability, which is then updated to a posterior probability in the light of new, relevant data or evidence.</p> Signup and view all the answers