Additionally, we extended the previously developed hyper-Bayesian approach by leveraging the GCV and mGCV scores. Then, we showed with various artificial and real EIS spectra that hyperparametric selection recovers DRTs and impedances more precisely than RR. The implementation of the code used to generate these results is provided in pyDRTtools, allowing other researchers to follow up on this work. performance computational resources. Lastly, A.