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Copula.Dependence.Conditional

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Conditional kernels as witnesses of stochastic increasingness #

Disintegration along the first coordinate recovers the copula CDF.

theorem ProbabilityTheory.Copula.integral_Iic_concave_of_antitone {f : ↑unitInterval → ℝ} (hf : MeasureTheory.Integrable f MeasureTheory.volume) (ha : Antitone f) (a b c : ↑unitInterval) (hab : a ≤ b) (hbc : b ≤ c) :
((↑b - ↑a) * ∫ (t : ↑unitInterval) in Set.Iic c, f t) + (↑c - ↑b) * ∫ (t : ↑unitInterval) in Set.Iic a, f t ≤ (↑c - ↑a) * ∫ (t : ↑unitInterval) in Set.Iic b, f t

The indefinite integral of an antitone function satisfies the concavity chord inequality.

theorem ProbabilityTheory.Copula.isSI_of_kernel (C : Copula 2) (κ : Kernel ↑unitInterval ↑unitInterval) [IsMarkovKernel κ] (hκ : ⇑C.conditionalKernel =ᵐ[MeasureTheory.volume] ⇑κ) (hmono : ∀ (v : ↑unitInterval), Antitone fun (u : ↑unitInterval) => (κ u).real (Set.Iic v)) :

A stochastically increasing version of the conditional kernel proves SI. The almost-everywhere identification makes this independent of null-set choices.

TP2 of a version of the conditional CDF kernel. This allows singular copulas.

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