The implementation used the pymc library and was initialized with the DRT solution obtained from either the entropy method or RR, as described in Section 2.3.1. Four independent chains with 10,000 draws each were used to ensure convergence and robust estimation of posterior statistics, balancing computational cost with sufficient sample size for reliable uncertainty quantification. The acceptance rate was set to 95%, and the results are presented graphically, displaying the median (solid line), maximum a posteriori (MAP) estimate (dots), and 95% credible intervals (shaded areas).