The polarized conditional-CDF functional #
This symmetric cross term gives the quadratic mixture formula for xi. Its diagonal is xi itself, its value at independence is zero, and pairing with comonotonicity gives Spearman's footrule.
theorem
ProbabilityTheory.Copula.integrable_conditionalCDF_mul
(C D : Copula 2)
(v : ↑unitInterval)
:
MeasureTheory.Integrable (fun (u : ↑unitInterval) => C.conditionalCDF u v * D.conditionalCDF u v) MeasureTheory.volume
theorem
ProbabilityTheory.Copula.integrable_integral_conditionalCDF_mul
(C D : Copula 2)
:
MeasureTheory.Integrable (fun (v : ↑unitInterval) => ∫ (u : ↑unitInterval), C.conditionalCDF u v * D.conditionalCDF u v)
MeasureTheory.volume
Symmetric polarization of xi, normalized so that pairing with independence is zero. Unlike xi itself, this cross functional can be negative.
Equations
- C.chatterjeeCross D = (6 * ∫ (v : ↑unitInterval) (u : ↑unitInterval), C.conditionalCDF u v * D.conditionalCDF u v) - 2
Instances For
@[simp]
@[simp]
@[simp]
theorem
ProbabilityTheory.Copula.conditionalCDF_comonotonic
(v : ↑unitInterval)
:
(fun (u : ↑unitInterval) => (comonotonic 2).conditionalCDF u v) =ᵐ[MeasureTheory.volume]
(Set.Iic v).indicator fun (x : ↑unitInterval) => 1
theorem
ProbabilityTheory.Copula.integral_conditionalCDF_mul_comonotonic
(C : Copula 2)
(v : ↑unitInterval)
:
Pairing a conditional CDF with the deterministic increasing kernel recovers the diagonal.
@[simp]