Summary table of probability terms: Difference between revisions

From Machinelearning
Line 20: Line 20:
| Probability triple or probability space || <math>(\Omega, \mathcal F, \mathbf P)</math> || ||
| Probability triple or probability space || <math>(\Omega, \mathcal F, \mathbf P)</math> || ||
|-
|-
| Distribution || <math>\mu</math> or <math>\mathcal D</math> or <math>D</math> or <math>\mathbf P_{\mathcal B}</math> || <math>\mathcal B \to \mathbf R</math> || <math>B \mapsto \mathbf P(X \in B)</math>
| Distribution || <math>\mu</math> or <math>\mathcal D</math> or <math>D</math> or <math>\mathbf P_{\mathcal B}</math> || <math>\mathcal B \to \mathbf [0,1]</math> || <math>B \mapsto \mathbf P(X \in B)</math>
|-
|-
| Cumulative distribution function || <math>F_X</math> || <math>\mathbf R \to \mathbf R</math> ||
| Cumulative distribution function || <math>F_X</math> || <math>\mathbf R \to \mathbf R</math> ||

Revision as of 07:15, 1 January 2018

Summary table of probability terms

Table

Term Symbol Type Definition
Reals
Borel subsets of the reals
Sample space
Outcome
Events
Probability measure or or
Probability triple or probability space
Distribution or or or
Cumulative distribution function
Density function
Random variable
Indicator of
Expectation or

See also

External links