High Quality Content by WIKIPEDIA articles! Information geometry is a branch of mathematics that applies the techniques of differential geometry to the field of probability theory. It derives its name from the fact that the Fisher information is used as the Riemannian metric when considering the geometry of probability distribution families that form a Riemannian manifold. Notably, information geometry has been used to prove the higher-order efficiency properties of the maximum-likelihood estimator.