Statistical uncertainty quantification for multireference covariant density functional theory
This paper presents a Bayesian framework for quantifying statistical uncertainties in covariant density functional theory by sampling parameter variations and propagating posterior distributions via a subspace-projected approach, successfully reproducing observables for deformed nuclei while highlighting current limitations in describing near-spherical systems.