Concept · Foundations
Likelihood
The probability of the observed evidence on the assumption that a given hypothesis is true, written P(E | H).
Why it matters
Likelihood measures how well a hypothesis predicts the evidence — not how probable the hypothesis is.
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.
Lessons (4)
Base Rates and Conditional ProbabilityBayesian Probability: Updating Belief with EvidenceBayesian Comparison of Rival HypothesesBayesian Probability: Updating Belief with EvidenceCapstone: Bayesian Judgment on Real EvidenceBayesian Probability: Updating Belief with EvidencePriors, Evidence, and Posterior BeliefBayesian Probability: Updating Belief with Evidence
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