Concept · Foundations

Posterior Probability

The revised degree of confidence in a hypothesis after incorporating new evidence, written P(H | E).

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Why it matters

The posterior is the result of rational belief updating — what you should believe now.

Where this shows up

Units and lessons using this concept

Following the links will take you to the page where this term is introduced in context.

Units (1)

Bayesian Probability: Updating Belief with EvidenceStudents learn the logic of Bayesian reasoning, including priors, likelihoods, posterior updating, base rates, and the disciplined use of…

Lessons (3)

Base Rates and Conditional ProbabilityBayesian Probability: Updating Belief with Evidence Bayesian Comparison of Rival HypothesesBayesian Probability: Updating Belief with Evidence Priors, Evidence, and Posterior BeliefBayesian Probability: Updating Belief with Evidence

Related

Other concepts in Foundations

A, E, I, O Propositions Accessibility Relation Argument Atomic Statement Authorial Intent Base Rate Bayes Factor Burden of Proof in Interpretation Calibration Cardinality Cartesian Product Categorical Proposition