Population rank coefficients of bivariate copulas #
These are population functionals, not finite-sample rank estimators.
Spearman's footrule uses the convention with range [-1/2,1].
The conditional-distribution coefficient of Chatterjee is in Rank.Chatterjee.
Spearman's rho: the Pearson correlation of the two uniform coordinates.
Instances For
Kendall's tau, expressed as the self-concordance integral.
Instances For
Spearman's population footrule coefficient, normalized to [-1/2,1].
Instances For
The midpoint of the closed unit interval.
Instances For
Blomqvist's beta, the population median concordance coefficient.
Equations
Instances For
theorem
ProbabilityTheory.Copula.integrable_diagonal_cdf
(C : Copula 2)
:
MeasureTheory.Integrable (fun (t : ↑unitInterval) => C.cdf ![t, t]) MeasureTheory.volume
theorem
ProbabilityTheory.Copula.integrable_antidiagonal_cdf
(C : Copula 2)
:
MeasureTheory.Integrable (fun (t : ↑unitInterval) => C.cdf ![t, unitInterval.symm t]) MeasureTheory.volume
theorem
ProbabilityTheory.Copula.blomqvistBeta_mono
{C D : Copula 2}
(h : ∀ (u : Fin 2 → ↑unitInterval), C.cdf u ≤ D.cdf u)
:
theorem
ProbabilityTheory.Copula.spearmanFootrule_mono
{C D : Copula 2}
(h : ∀ (u : Fin 2 → ↑unitInterval), C.cdf u ≤ D.cdf u)
: