Linked from

The 10 pages that link to Posterior probability, each with the reason it gives.

• Bayesian inferenceBroader topic: It is the updated distribution produced by Bayesian inference.

• Bayes' theoremRelated: The output of the update; it becomes the prior for the next round of evidence.

• Likelihood functionCompared with: A posterior answers questions about parameter uncertainty; a likelihood only compares data support across parameter values.

• P-valueCompared with: A p-value is not the probability that the null hypothesis is true.

• Bayesian statisticsBroader topic: It is the updated uncertainty produced by combining the prior with the likelihood.

• Prior probabilityBroader topic: It is the updated belief produced by combining a prior with evidence.

• Bayesian probabilityBroader topic: It is the updated uncertainty produced by Bayesian inference.

• Bayesian phylogeneticsRelated: Posterior probabilities summarize support for trees and evolutionary parameters after data are analyzed.

• Maximum a posteriori estimationBroader topic: MAP estimation chooses a mode of this distribution.

• Thomas BayesRelated: This is the updated quantity sought in the inverse-probability problem associated with Bayes.