theorem
Verification.rowMeanEnergy_continuous
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ProbabilityTheory.Copula 2)
:
Continuous (rowMeanEnergy P C)
theorem
Verification.rowMeanEnergy_mem
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ProbabilityTheory.Copula 2)
(v : ↑unitInterval)
:
theorem
Verification.rowMeanEnergy_integrable
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ProbabilityTheory.Copula 2)
:
noncomputable def
Verification.rowMeanXi
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ProbabilityTheory.Copula 2)
:
Predictor-bin averaging gives a lower approximation to xi, with no response binning.
Equations
- Verification.rowMeanXi P C = (6 * ∫ (v : ↑unitInterval), Verification.rowMeanEnergy P C v) - 2
Instances For
theorem
Verification.rowMeanXi_le
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ProbabilityTheory.Copula 2)
:
theorem
Verification.rowMeanXi_tendsto
(C : ProbabilityTheory.Copula 2)
:
Filter.Tendsto (fun (k : ℕ) => rowMeanXi (ProbabilityTheory.Copula.IntervalPartition.uniform (k + 1) ⋯) C) Filter.atTop
(nhds C.chatterjeeXi)
theorem
Verification.rowMeanXi_tendsto_of_cdf
{m : ℕ}
(P : ProbabilityTheory.Copula.IntervalPartition m)
(C : ℕ → ProbabilityTheory.Copula 2)
(D : ProbabilityTheory.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
Verification.xi_le_limit_of_cdf
(C : ℕ → ProbabilityTheory.Copula 2)
(D : ProbabilityTheory.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.