Linked from

The 17 pages that link to Event (probability theory), each with the reason it gives.

• Random variableRelated: Threshold and value statements about a random variable define events.

• Probability theoryBroader topic: Events are the basic propositions whose probabilities the theory calculates.

• ProbabilityBroader topic: Probability measures the chance that outcomes in an event occur.

• Probability measureBroader topic: Events are the sets that a probability measure evaluates.

• Conditional probabilityRelated: The conditioned event and the target event are both subsets of the same outcome space.

• Probability spaceBroader topic: Events are precisely the sets to which the space assigns probabilities.

• Cumulative distribution functionRelated: The CDF evaluates probabilities of threshold events defined by the random variable.

• Sample spaceRelated: Events are formed by selecting subsets of the sample space.

• Borel–Cantelli lemmaNarrower topic: The theorem applies to sequences of such measurable sets.

• Bernoulli trialRelated: Success is treated as an event, with all other outcomes grouped as failure.

• Event (relativity)Compared with: This mathematical meaning differs from a physical occurrence in spacetime.

• Linearity of expectationRelated: Indicators turn events into zero-one variables whose expectations equal event probabilities.

• Probability axiomsBroader topic: The axioms assign probabilities to events, not merely individual outcomes.

• Bonferroni inequalitiesBroader topic: Each set in the union is an event whose probability contributes to the bounds.

• Lovász local lemmaNarrower topic: The lemma bounds the probabilities of events whose simultaneous avoidance is sought.

• Outcome (probability)Related: Events group outcomes to express probability questions.

• Boole's inequalityRelated: Boole's inequality compares the probability of a union of such sets with their separate probabilities.