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Copula.Rank.Blest

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Blest's rank correlation and its symmetrization #

The directional coefficient weights discrepancies in the top ranks. Averaging it with its transpose gives the symmetrized coefficient of Genest and Plante. These are population copula functionals, not finite-sample estimators.

noncomputable def ProbabilityTheory.Copula.blestNu (C : Copula 2) :

Blest's directional population rank correlation.

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    Symmetrized Blest rank correlation: the average of both coordinate directions.

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      theorem ProbabilityTheory.Copula.symmetrizedBlest_eq_integral (C : Copula 2) :
      C.symmetrizedBlest = -4 + 6 * ∫ (x : Fin 2 → ↑unitInterval), ↑(x 0) * ↑(x 1) * (4 - ↑(x 0) - ↑(x 1)) ∂C.toMeasure

      The symmetric mixed-moment formula fixes the normalization independently of the directional representation.

      theorem ProbabilityTheory.Copula.blestNu_mix (C D : Copula 2) (a : ↑unitInterval) :
      (C.mix D a).blestNu = ↑a * C.blestNu + (1 - ↑a) * D.blestNu