Maximum a posteriori estimation
id:
maximum-a-posteriori-estimation-175-13135150
title:
Maximum a posteriori estimation
text:
In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is an estimate of an unknown quantity, that equals the mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to the method of maximum likelihood (ML) estimation, but employs an augmented optimization objective which incorporates a prior distribution over the quantity one wants to estimate. MAP estimation can therefo
brand slug:
wiki
category slug:
encyclopedia
description:
Method of estimating the parameters of a statistical model
original url:
https://en.wikipedia.org/wiki/Maximum_a_posteriori_estimation
date created:
2005-04-24T23:55:46Z
date modified:
2024-09-03T08:18:44Z
main entity:
{"identifier":"Q635384","url":"https://www.wikidata.org/entity/Q635384"}
image:
fields total:
13
integrity:
15