Where \(\theta_{j}\) is the set of estimated parameters corresponding to
iteration j.
- 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.
- 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)