Orthogonality principle
id:
orthogonality-principle-304-8829411
title:
Orthogonality principle
text:
In statistics and signal processing, the orthogonality principle is a necessary and sufficient condition for the optimality of a Bayesian estimator. Loosely stated, the orthogonality principle says that the error vector of the optimal estimator is orthogonal to any possible estimator. The orthogonality principle is most commonly stated for linear estimators, but more general formulations are possible. Since the principle is a necessary and sufficient condition for optimality, it can be used to f
brand slug:
wiki
category slug:
encyclopedia
description:
Condition for optimality of Bayesian estimator
original url:
https://en.wikipedia.org/wiki/Orthogonality_principle
date created:
date modified:
2022-05-27T22:35:46Z
main entity:
{"identifier":"Q7104536","url":"https://www.wikidata.org/entity/Q7104536"}
image:
fields total:
13
integrity:
14