CDF of a power distribution supported on [0,t]. Its value at t=0 is irrelevant to integration.
Instances For
theorem
Verification.rafteryKernel_monotone
{a : ℝ}
(ha : 0 ≤ a)
(t : ↑unitInterval)
:
Monotone fun (u : ↑unitInterval) => rafteryKernel a u t
theorem
Verification.rafteryKernel_measurable
(a : ℝ)
(u : ↑unitInterval)
:
Measurable (rafteryKernel a u)
theorem
Verification.rafteryKernel_product_integrable
{a : ℝ}
(ha : 0 ≤ a)
(u v : ↑unitInterval)
:
MeasureTheory.Integrable (fun (t : ↑unitInterval) => rafteryKernel a u t * rafteryKernel a v t) MeasureTheory.volume
theorem
Verification.rafteryKernel_zero_ae
{a : ℝ}
(ha : 0 < a)
:
rafteryKernel a 0 =ᵐ[MeasureTheory.volume] fun (x : ↑unitInterval) => 0
Equations
- Verification.rafteryMixtureCDF a u v = ↑u ^ a * ↑v ^ a / a + (a - 1) / a * ∫ (t : ↑unitInterval), Verification.rafteryKernel a u t * Verification.rafteryKernel a v t
Instances For
theorem
Verification.rafteryMixtureCDF_rectangle
{a : ℝ}
(ha : 1 < a)
(u₁ u₂ v₁ v₂ : ↑unitInterval)
(hu : u₁ ≤ u₂)
(hv : v₁ ≤ v₂)
:
0 ≤ rafteryMixtureCDF a u₂ v₂ - rafteryMixtureCDF a u₁ v₂ - rafteryMixtureCDF a u₂ v₁ + rafteryMixtureCDF a u₁ v₁
theorem
Verification.rafteryMixture_isClassical
{a : ℝ}
(ha : 1 < a)
:
ProbabilityTheory.Copula.IsClassical fun (x : Fin 2 → ↑unitInterval) => rafteryMixtureCDF a (x 0) (x 1)
Equations
- Verification.rafteryPower a ha = ProbabilityTheory.Copula.ofClassical (fun (x : Fin 2 → ↑unitInterval) => Verification.rafteryMixtureCDF a (x 0) (x 1)) ⋯