Automatic validation of computational models using pseudo-3D spatio-temporal model checking

BMC Systems Biology

Table 2 Considered approximate probabilistic model checking approaches

Bayesian methods consider prior knowledge about the parameters and variables in the model when deciding if a logic property holds. Conversely frequentist approaches assume no prior knowledge is available. All methods except probabilistic black-box take as input a user-defined upper bound on the approximation error. They request additional model executions until the result is sufficiently accurate. Probabilistic black-box model checking takes a fixed number of model simulations as input and computes a p-value as the confidence measure of the result.

ISSN: 1752-0509