Where \(\theta_{j}\) is the set of estimated parameters corresponding to iteration j.
  1. Iterate through steps 3 and 4 (\(n_{\text{It}}\)=500). The mean and standard variation of the population of estimated parameters are used as convergence indicators.
  2. For a high number of iterations, the expected value of the parameter set can be approximated to the mean value of the distribution of parameters (Eq. S5). The confidence intervals for a α=0.05 significance are determined by the quantile function (Eq. S6)