Fig 4. Inference on the Lac-Gfp model.

A: Development of the estimation of the Bayesian evidence using the estimation based solely on the dead points ${\widehat{Z}}_{\mathcal{D}}$, the estimate approximation from the live points ${\widehat{Z}}_{\mathcal{L}}$ and the estimation that uses both ${\widehat{Z}}_{\text{tot}}$. The corresponding standard errors are indicated as the shaded areas. B: Estimate of the current variance estimate ${\widehat{\sigma }}_{\text{tot}}^{2m}$ and the lower bounds for the lowest achievable variance ${\widehat{\sigma }}_{\text{min}}^2$. C: The acceptance rate of the LF-NS algorithm for each iteration (blue) and the cumulative time needed for each iteration in hours (red). The computation was performed on 48 cores in parallel on the Euler cluster of the ETH Zurich. D: Marginals of the inferred posterior distributions of the parameters based on one simulated trajectory. The blue lines indicate the parameters used for the simulation of the data.