Sentence examples for expected deviance from inspiring English sources

DIC is computed as the expected deviance over the posterior distribution of the model parameters plus the effective number of parameters in the model.

The expected deviance values for all other physical measurements were above one-half showing two otherwise valid sets [ 18].

The most popular method for obtaining tree-based estimates of prediction error (or expected deviance) is V-fold cross-validation.

A mouse was rejected from its set based on an expected deviance value of below one-half.

DIC combines a measure of model fit (the expected deviance) with a measure of model complexity (the effective number of parameters) over all iterations after burn-in.

The expected predicted deviance is suggested as a measure of model comparison and adequacy to compare the fit of different models to the same data [ 18, 19].

If the independent variables included in the more complex model, but not in the simpler model, have no explanatory value, then the deviance is expected to have a χ2 distribution, with as many degrees of freedom as extra parameters has the more complex model.

This large frequency deviance was expected to elicit an MMN on the basis of previous work in infants.

To assess goodness of fit, we used the posterior mean residual deviance, whose expected value is approximately equal to the number of data points under the assumption that the model is true (35, 37, 38).

Under the null hypothesis that the model provides an adequate fit to the data, the residual deviance is expected to have a mean equal to the number of unconstrained data points.

This way, the deviance between the expected and observed value of NDVIcorr can be derived: Fig. 4 Example of the polynomial relationship between the average bi-monthly NDVI and the 48 days antecedent rainfall for herbaceous vegetation between 1500 and 2100 m a.s.l.l