Sentence examples for model comparison in from inspiring English sources

More technologies are combined with neurocomputing having as objective model comparison in case of limited data.

However, model comparison in a Bayesian framework can be achieved by calculating the Bayes Factor (BF), which is the ratio of the marginal likelihoods with respect to the prior of the two models being compared [38].

Model comparison in a Bayesian framework can be achieved, however, by calculating the Bayes Factor (BF), which is the ratio of the marginal likelihoods (marginal with respect to the prior) of the two models being compared [39].

For the model comparison in Table 1, we also considered a maximum-a-posteriori estimator, which does not use a cost function but instead selects the location from the 5-element response set that has the highest probability of being correct.

The DIC was employed for model comparison in this study.

Examples of Bayesian model comparison in linear models are [ 14, 15].

From the other model comparisons in Sections 6.2 and 6.3, it might have been expected that the MGR model would be the best of the three models, but the superiority of the MGR model was not clear.

We discuss model comparisons in the context of our demonstration of the WoMMBAT software below.

Model comparisons in the simulation study, and for the analysis of field data, were carried out using predictive log-likelihoods (PLL) from BN and BS t models.

The age data were missing for many observations and were not included in model comparisons in order to use larger data and to avoid overparameterization.

Predictions of individual codons that evolved under diversifying selection were performed by maximum likelihood using NSsites model comparisons in PAML [ 23].