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Random variable

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Summary

A measurable function from a probability space to a measurable value space.

Record metadata

Carrier(s)

Data

Notes

The probability space and value-space σ\sigma-algebra are part of the data. Traditionally the codomain is R\mathbb R or Rn\mathbb R^n; for a general measurable codomain, “random element” is also common.

Concept sources

Incoming relations (arrows to this concept)

Each relation below ends at this concept.

probability domain + measurable map(construction junction)Random variable

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This is an authored directed relation from the source endpoint to the target endpoint.

Authored explanation

Identify the map domain with the probability space and retain the measurable codomain as the value space.

How to interpret this relation type

Feed several structures into a construction junction and impose compatibility between them.

Relation sources

Outgoing relations (arrows from this concept)

Each relation below starts at this concept.

Random variableConditional expectation

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This is an authored directed relation from the source endpoint to the target endpoint.

Authored explanation

Conditional expectation is another random variable determined from the original one and the conditioning information, not generally a pointwise average over outcomes.

How to interpret this relation type

The target represents a state, property, observable, or state-dependent description associated with the source system or theory.

Relation sources

Random variableExpected value

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This is an authored directed relation from the source endpoint to the target endpoint.

Authored explanation

A real-valued random variable with finite absolute first moment has expectation XdP\int X\,d\mathbb P.

How to interpret this relation type

Apply a standard functorial or canonical construction whose output is not merely a reduct of the input and is not generally an equivalent presentation of the same object.

Relation sources

Random variableprobability + indexed random variables(construction junction)

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This is an authored directed relation from the source endpoint to the target endpoint.

Authored explanation

Supply measurable random variables on one common probability space.

How to interpret this relation type

Feed several structures into a construction junction and impose compatibility between them.

Relation sources

Random variableProbability distribution

Permalink to relation

This is an authored directed relation from the source endpoint to the target endpoint.

Authored explanation

The law of XX is the pushforward measure PX1\mathbb P\circ X^{-1} on its measurable value space.

How to interpret this relation type

Apply a standard functorial or canonical construction whose output is not merely a reduct of the input and is not generally an equivalent presentation of the same object.

Relation sources