Probabilistic sensitivity analysis identifies the influential uncertain input to guide decision-making. We propose a general framework with respect distribution parameters that unifies wide range of measures, including information theoretical metrics such as Fisher information. The is derived analytically via constrained maximisation and reformulated into an eigenvalue problem. There are only t...