CencovPetz.SufficientStatistic #
Deterministic “sufficient statistics” in the finite/discrete setting, and monotonicity of the Fisher quadratic form under such maps.
In classical information geometry (Čencov/Chentsov), a key input is that the Fisher metric is
monotone under sufficient statistics. For a finite type α of outcomes and a surjection
g : α → β, the pushforward distribution is obtained by summing over fibers:
q(b) = ∑_{a : g a = b} p(a).
The corresponding tangent vector pushforward is the same fiberwise sum, and the Fisher inequality reduces to Titu's lemma / Engel form of Cauchy–Schwarz on each fiber.
Main definitions #
CencovPetz.Simplex.pushforward: pushforward of a strictly positive distribution along a surjective map, by summing over fibers.CencovPetz.tangentPushforward: pushforward of a tangent vector along a map, by summing over fibers.
Main results #
CencovPetz.fisherBilin_pushforward_le: Fisher quadratic form monotonicity under a surjective map (finite sufficient statistic).
Pushforward of a strictly positive distribution along a surjective map, by summing over fibers.
Equations
Instances For
Pushforward of a tangent vector along a map, by summing over fibers.
Equations
- LeanPool.CencovPetz.tangentPushforward g u = ⟨fun (b : β) => ∑ a : α with g a = b, ↑u a, ⋯⟩
Instances For
Monotonicity of the Fisher quadratic form under a surjective map (finite sufficient statistic).