While the DRT model is conceptually simple, deconvolving 𝛾(log 𝜏) is difficult because the underlying problem is ill-posed . Many methodologies have been developed to conduct DRT deconvolution. Those include genetic and evolutionary methods , Fourier transform methods , maximum entropy approaches , artificial-intelligence-driven methods , Gaussian processes , Bayesian and hierarchical Bayesian methods , and ridge regression (RR) , with RR being arguably the most widely used.