The research group standardized the model's parameterisation to ensure consistent comparisons across experiments.

During the study, different parameterisations were tested to determine which configuration produced the most accurate forecasts.

The new analytics engine is fully parameterisable, allowing teams to tailor metrics without code changes.

The team is parameterising the model to improve its predictive accuracy.

The team parameterised the simulation model to reflect the new environmental conditions.

The new calibration algorithm parameterises the model's uncertainty across different datasets to improve its predictions.

Before running the experiment, we need to parameterise the simulation so researchers can adjust conditions easily.