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Copula.Rank.Region.XiBlest.Support.XiLowerSemicontinuity

← Copula mathematical handbook

Predictor-bin averaging gives a lower approximation to xi, with no response binning.

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    theorem ProbabilityTheory.Copula.RankRegion.XiBlest.Support.rowMeanXi_tendsto_of_cdf {m : ℕ} (P : IntervalPartition m) (C : ℕ → Copula 2) (D : Copula 2) (hC : ∀ (u v : ↑unitInterval), Filter.Tendsto (fun (k : ℕ) => (C k).cdf ![u, v]) Filter.atTop (nhds (D.cdf ![u, v]))) :
    Filter.Tendsto (fun (k : ℕ) => rowMeanXi P (C k)) Filter.atTop (nhds (rowMeanXi P D))

    A fixed predictor-bin energy is continuous under pointwise copula-CDF convergence.

    theorem ProbabilityTheory.Copula.RankRegion.XiBlest.Support.xi_le_limit_of_cdf (C : ℕ → Copula 2) (D : Copula 2) (x : ℝ) (hC : ∀ (u v : ↑unitInterval), Filter.Tendsto (fun (k : ℕ) => (C k).cdf ![u, v]) Filter.atTop (nhds (D.cdf ![u, v]))) (hx : Filter.Tendsto (fun (k : ℕ) => (C k).chatterjeeXi) Filter.atTop (nhds x)) :

    Xi cannot jump upward at a pointwise CDF limit. Singular copulas are included.