Deviance information criterion
id:
deviance-information-criterion-321-15744261
title:
Deviance information criterion
text:
The deviance information criterion (DIC) is a hierarchical modeling generalization of the Akaike information criterion (AIC). It is particularly useful in Bayesian model selection problems where the posterior distributions of the models have been obtained by Markov chain Monte Carlo (MCMC) simulation. DIC is an asymptotic approximation as the sample size becomes large, like AIC. It is only valid when the posterior distribution is approximately multivariate normal.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Deviance_information_criterion
date created:
date modified:
2023-12-29T01:35:07Z
main entity:
{"identifier":"Q972431","url":"https://www.wikidata.org/entity/Q972431"}
image:
fields total:
13
integrity:
13