A prior probability distribution of an uncertain quantity, often simply called the prior, is its assumed probability distribution before some evidence...

The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood...

the Bayesian probabilist specifies a prior probability. This, in turn, is then updated to a posterior probability in the light of new, relevant data (evidence)...

proportions. In Bayesian inference, the beta distribution is the conjugate prior probability distribution for the Bernoulli, binomial, negative binomial, and geometric...

x)} is in the same probability distribution family as the prior probability distribution p ( θ ) {\displaystyle p(\theta )} , the prior and posterior are...

defendant in a criminal case Prior probability, in Bayesian statistics Prior knowledge for pattern recognition Saint Prior (4th century), an Egyptian hermit...

Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a...

In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes, describes the probability of...

In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...

In Bayesian probability, the Jeffreys prior, named after Sir Harold Jeffreys, is a non-informative prior distribution for a parameter space; its density...