Divergence (statistics)
id:
divergence-statistics-322-15152366
title:
Divergence (statistics)
text:
In information geometry, a divergence is a kind of statistical distance: a binary function which establishes the separation from one probability distribution to another on a statistical manifold. The simplest divergence is squared Euclidean distance (SED), and divergences can be viewed as generalizations of SED. The other most important divergence is relative entropy, which is central to information theory. There are numerous other specific divergences and classes of divergences, notably f-diver
brand slug:
wiki
category slug:
encyclopedia
description:
Function that measures dissimilarity between two probability distributions
original url:
https://en.wikipedia.org/wiki/Divergence_(statistics)
date created:
date modified:
2024-02-15T12:06:00Z
main entity:
{"identifier":"Q5283901","url":"https://www.wikidata.org/entity/Q5283901"}
image:
fields total:
13
integrity:
14