Sentence examples for model comparison was from inspiring English sources

Model comparison was based on deviance information criterion (DIC) (Spiegelhalter et al. 2002), in which the model with the lowest DIC value is considered the best.

Model comparison was made using Akaike's Information Criterion AICC) to evaluate which predictors were more closely associated with the outcome [33, 34].

In Gómez et al. [85], a model comparison was also done to show the relevance of each feature in every dataset.

Model comparison was achieved by calculating Bayes factor [48].

In the multivariate analysis, stepwise model comparison was used to determine the best model.

Model comparison was performed via Bayes Factor in Tracer v1.5 (Text S1; Tables S1, S2, S3, S4, S5, S6, S7, and S8); differences in tMRCA estimates among models were trivial.

Model comparison is realized by applying two procedures.

We show that this Bayesian model comparison is just a natural formalization of Occam׳s razor.

Instead, the model comparison is meant to test which parameter best captures the behavioural data and simply implies a more prominent role for changes in drift criterion in the regulation of recognition decisions.

Implementation of these models and computation of some criteria for model comparison were illustrated using two simulated datasets.

The model comparison is centered on a well defined task, the Iowa Gambling Task, used in several psychological experiments.