Once the probabilistic model is defined, the central tendency analysis enables the computation of main statistics of the output variables.
Persalys provides two methods to perform a central tendency analysis:
- Taylor expansion: this is a limited second-order development around the mean
- Monte-Carlo sampling: the model is evaluated on a large number of random samplings
For more information on the central tendency analysis, refer to the following video (soon in English):