theorem
Verification.gumbel_cdfSection_deriv
{θ : ℝ}
(hθ : 1 ≤ θ)
(v : ↑unitInterval)
(hv : ↑v ∈ Set.Ioo 0 1)
(u : ℝ)
(hu : u ∈ Set.Ioo 0 1)
:
HasDerivAt ((ProbabilityTheory.Copula.gumbel θ hθ).cdfSection v) (gumbelPartial θ u ↑v) u
theorem
Verification.gumbel_conditionalCDF
{θ : ℝ}
(hθ : 1 ≤ θ)
(v : ↑unitInterval)
(hv : ↑v ∈ Set.Ioo 0 1)
:
(fun (u : ↑unitInterval) => (ProbabilityTheory.Copula.gumbel θ hθ).conditionalCDF u v) =ᵐ[MeasureTheory.volume]
fun (u : ↑unitInterval) => gumbelPartial θ ↑u ↑v
theorem
Verification.gumbel_conditionalCDF_ae
{θ : ℝ}
(hθ : 1 ≤ θ)
:
∀ᵐ (v : ↑unitInterval) (u : ↑unitInterval), (ProbabilityTheory.Copula.gumbel θ hθ).conditionalCDF u v = gumbelPartial θ ↑u ↑v
theorem
Verification.gumbel_kendallTau_integral
{θ : ℝ}
(hθ : 1 ≤ θ)
:
(ProbabilityTheory.Copula.gumbel θ hθ).kendallTau = 1 - 4 * ∫ (u : ↑unitInterval) (v : ↑unitInterval), gumbelPartial θ ↑u ↑v * gumbelPartial θ ↑v ↑u
theorem
Verification.gumbel_kendallTau_generator_integral
{θ : ℝ}
(hθ : 1 ≤ θ)
:
(ProbabilityTheory.Copula.gumbel θ hθ).kendallTau = 1 - 4 * ∫ (x : ℝ) (y : ℝ) in Set.Ioi 0, gumbelPsiDeriv θ⁻¹ (x + y) ^ 2