Conditional CDFs with exact endpoints at every predictor #
noncomputable def
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF
(C : Copula 2)
(u v : ↑unitInterval)
:
Removing the null response endpoint makes rescaling identities pointwise.
Equations
- ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF C u v = if v = 0 then 0 else C.conditionalCDF u v
Instances For
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_measurable
(C : Copula 2)
:
Measurable fun (p : ↑unitInterval × ↑unitInterval) => normalizedCDF C p.2 p.1
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_mem
(C : Copula 2)
(u v : ↑unitInterval)
:
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_zero
(C : Copula 2)
(u : ↑unitInterval)
:
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_one
(C : Copula 2)
(u : ↑unitInterval)
:
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_mono
(C : Copula 2)
(u : ↑unitInterval)
:
Monotone (normalizedCDF C u)
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_ae
(C : Copula 2)
(v : ↑unitInterval)
:
(fun (u : ↑unitInterval) => normalizedCDF C u v) =ᵐ[MeasureTheory.volume] fun (u : ↑unitInterval) =>
C.conditionalCDF u v
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_response_ae
(C : Copula 2)
(u : ↑unitInterval)
:
normalizedCDF C u =ᵐ[MeasureTheory.volume] C.conditionalCDF u
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_integrable
(C : Copula 2)
(v : ↑unitInterval)
:
MeasureTheory.Integrable (fun (u : ↑unitInterval) => normalizedCDF C u v) MeasureTheory.volume
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_mean
(C : Copula 2)
(v : ↑unitInterval)
:
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.normalizedCDF_response_integral
(C : Copula 2)
(u : ↑unitInterval)
: