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We selected the most parsimonious one using deviance information criterion (DIC 16.
Deviance information criterion (DIC) was used to measure the performance of these models.
We find that according to the deviance information criterion, the new model ranks first for several stocks.
A Bayesian spatial model, validated by the deviance information criterion (DIC), was found to be the best-fitting model.
Model selection was based on minimization of the deviance information criterion (DIC), which is more readily compatible with MCMC estimation than Akaike information criterion or Bayesian information criterion.
Deviance information criterion.
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DIC indicates the 'deviance information criterion'.
The models were compared using the Deviance Information Criterion.
Deviance Information Criterion (DIC) was utilized as a comparison factor.
Model performances were evaluated by the Deviance Information Criterion (DIC; we recall that models with smaller DIC should be preferred).
Model acceptability was quantified with Deviance Information Criterion DICC), which penalized model accuracy by the number of retrieved parameters.
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