The copula of two conditionally independent response copies #
Its distribution function is the integral of the product of the two conditional CDFs. The construction applies to every copula, including singular laws.
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.conditionalIID_classical
(C : Copula 2)
:
IsClassical fun (x : Fin 2 → ↑unitInterval) =>
∫ (t : ↑unitInterval), C.conditionalCDF t (x 0) * C.conditionalCDF t (x 1)
Positivity of rectangle increments follows from monotonicity of each conditional CDF.
noncomputable def
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.conditionalIID
(C : Copula 2)
:
Copula 2
The law of two conditionally independent copies of coordinate 1 given coordinate 0.
Equations
- One or more equations did not get rendered due to their size.
Instances For
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.conditionalIID_cdf
(C : Copula 2)
(u v : ↑unitInterval)
:
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.conditionalIID_footrule
(C : Copula 2)
:
The Markov-square footrule is exactly the original directed Chatterjee coefficient.
theorem
ProbabilityTheory.Copula.RankRegion.XiBlest.Support.conditionalIID_rho
(C : Copula 2)
:
(conditionalIID C).spearmanRho = (12 * ∫ (t : ↑unitInterval), (∫ (u : ↑unitInterval), C.conditionalCDF t u) ^ 2) - 3
Integral formula for rho of the conditional-copy law.