This paper is devoted to certain differential-geometric constructions in classical and noncommutative statistics, invariant with respect to the category of Markov maps, which have recently been developed by Soviet, Japanese, and Danish researchers.Among the topics considered are invariant metrics and invariant characteristics of informational proximity, and lower bounds are found for the uniform topologies that they generate on sets of states.A description is given of all invariant Riemannian metrics on manifolds of sectorial states.The equations of the geodesics for the entire family of invariant linear connections A = ~A, yEIR, are integrated on sets of classical probability distributions.A description is given of the projective structure of all the geodesic curves and totally geodesic submanifolds, which turns out to be a local lattice structure; it is shown to coincide, up to a factor T(7 -I), with the Riemann-Christoffel curvature tensor.I. The collection of all probability measures P(.) on a measurable space (~, ~) of elementary outcomes ~ is a convex subset of the semi-ordered linear space of all countably additive charges R, i.e., measures of bounded variation on (~,~). Compatible with the semiorder relation of this space is the natural norm -the total variation of the charge