Sentence examples for prediction distribution from inspiring English sources

The figures corresponding to the posterior visual predictive check and the normalised prediction distribution errors evaluation confirm the satisfactory predictability of the final population PK models (Supplementary material – Supplementary Figures S3A and S3B, respectively).

The accuracy and robustness of the final population models were assessed by a (nonparametric) bootstrap method (Green and Duffull, 2003), visual predictive check and normalised prediction distribution errors (Brendel et al, 2006; Comets et al, 2008).

Normalized prediction distribution errors (NPDEs) vs. predicted concentrations (YPRED) and vs. time plots were evaluated post hoc.

These predicted particles can be utilized to approximate the prior prediction distribution P(x t |y1 t-1).

Figure 1 depicts the predicted versus observed concentrations and Figure 2 shows the corresponding normalized prediction distribution error test for this data.

Various visual predictive checks, including VPC, standardized VPC, prediction-corrected VPC, and normalized prediction distribution error, were performed for the base and final covariate models, overall for all data and stratified by study, diagnosis, weight, or sex.

Fitted prediction distributions have been omitted for clarity.

Beta binomial distributions ϵ(k) and φ(k) are fitted to the cumulative observed error and prediction distributions, respectively.

Here this model is extended to establish fatigue life prediction distributions for pre-corroded 2024-T3 alusingm using random cross-sectional plane micrographs as the damage quantification means.

Then, the meta-level training instances M I p are made up by all the base classifiers' prediction distributions PD (as attributes) and true labels of the validation data (l(D_{k^{p}}^{p})) (as labels) (line 8).

In the second step, for each pair of stature and weight, the sizes of the DHM body segments are determined using hierarchical regression models and corresponding prediction distributions of individual values.