Statistics

Statistics infers properties of a distribution from samples drawn out of it, and quantifies how far the inference can be trusted. The questions worth asking are geometric as often as computational: which estimators are efficient, what a confidence set is a set of, and how much a model family can express. Writing here treats statistics alongside information geometry and estimation theory, where the answers take the form of a bound rather than a procedure.