KnowraProbability spaceLinked fromLinked fromThe 25 pages that link to Probability space, each with the reason it gives.All 25Broader topic 4Related 6Narrower topic 15Random variableNarrower topic: It supplies the domain and probability measure that make a random variable precise.Probability distributionNarrower topic: It is the formal setting from which a random variable’s distribution is derived.Conditional probabilityNarrower topic: Conditional probability modifies probabilities within this underlying model.Independence (probability theory)Narrower topic: Independence is defined for events within a probability space.Sample spaceNarrower topic: It extends the sample space by specifying events and their probabilities.Borel–Cantelli lemmaNarrower topic: The events and probabilities in the theorem live in this structure.Strong law of large numbersNarrower topic: Almost-sure convergence is defined relative to the probability measure on this space.Filtration (probability theory)Narrower topic: Every filtration is defined on the sigma-algebra of an underlying probability space.Nonmeasurable setNarrower topic: Events must belong to its sigma-algebra; arbitrary subsets of outcomes need not be events.Random vectorNarrower topic: It supplies the outcomes and probability measure on which a random vector is defined.Bonferroni inequalitiesNarrower topic: The inequalities apply to events measured within a probability space.Kolmogorov's zero–one lawNarrower topic: The zero-or-one conclusion is a statement about probabilities within this structure.Lovász local lemmaNarrower topic: The lemma's events and conditional probabilities are defined within a probability space.Boole's inequalityNarrower topic: The inequality applies to events within this mathematical structure.Infinite monkey theoremNarrower topic: The theorem's random text is defined within a probability space.