Conditional distributions of the second coordinate given the first #
A regular conditional distribution of coordinate 1 given coordinate 0.
Its values on a null set of conditioning points are immaterial.
Equations
- C.conditionalKernel = ProbabilityTheory.condDistrib (fun (x : Fin 2 → ↑unitInterval) => x 1) (fun (x : Fin 2 → ↑unitInterval) => x 0) C.toMeasure
Instances For
The conditional CDF P(V ≤ t | U = u), for a fixed version of the kernel.
Equations
- C.conditionalCDF u t = (C.conditionalKernel u).real (Set.Iic t)
Instances For
theorem
ProbabilityTheory.Copula.measurable_conditionalCDF
(C : Copula 2)
:
Measurable fun (p : ↑unitInterval × ↑unitInterval) => C.conditionalCDF p.2 p.1
theorem
ProbabilityTheory.Copula.measurable_conditionalCDF_left
(C : Copula 2)
(t : ↑unitInterval)
:
Measurable fun (u : ↑unitInterval) => C.conditionalCDF u t
theorem
ProbabilityTheory.Copula.integrable_conditionalCDF
(C : Copula 2)
(t : ↑unitInterval)
:
MeasureTheory.Integrable (fun (u : ↑unitInterval) => C.conditionalCDF u t) MeasureTheory.volume
Averaging a conditional CDF recovers the uniform second marginal.
theorem
ProbabilityTheory.Copula.integrable_conditionalCDF_sq
(C : Copula 2)
(t : ↑unitInterval)
:
MeasureTheory.Integrable (fun (u : ↑unitInterval) => C.conditionalCDF u t ^ 2) MeasureTheory.volume