Sentence examples for model evidence is from inspiring English sources

As illustrated in Figure 4 a, the model evidence is "diluted" over our large number of models, especially when many connections were shared between models (see Fig. 3).

The denominator in Equation 2, the model evidence, is constant during the calibration step for one particular model and thus can be ignored.

Comparing by likelihood ratio the model fitted on three intervals with an overall survival model, evidence is found against the proportional HR assumption.

When the model space (the number of estimated models) is relatively small, the estimated model with the strongest model evidence is taken as the winner (Bayesian model selection; Penny et al., 2004).

The Bayesian model selection involving the use of the model evidence is always valid, contrary to the Bayesian/Akaike Information Criterion, which are approximations valid in the limit of using large amounts of data.

The model evidence is crucial, not only for determining the relative weighting of the priors (through implicit evidence-maximization), but also when one wants to select between sets of priors.

Model evidence was decisively higher for the iterative DCM for evoked responses than for all other approaches.

The iteration with the highest model evidence was taken as the winning solution for that particular dipole configuration.

Our results showed that model evidence was highest for the response model in which RS was determined by the precision of the prediction.

In contrast to the familiar face same-size condition, however, model evidence was highest for Family C2 (exceedance probability = 0.96) (Fig. 4 B ). Models in Family C2 are all characterized by changes in backward (FFA-to-OFA) connectivity during RS.

The program was run for various values of K, the number of components, and subsequently, the K with the best model fit using the Laplace approximation to the negative log model evidence was chosen as the optimal value for that dataset.