Equations
- One or more equations did not get rendered due to their size.
Instances For
theorem
Verification.gaussianBivariate_cdf_sample
{r : ℝ}
(hr : r ∈ Set.Icc (-1) 1)
(u : Fin 2 → ↑unitInterval)
:
(gaussianBivariate r hr).cdf u = ∫ (x : Fin 2 → ℝ), (Set.Iic u).indicator (fun (x : Fin 2 → ↑unitInterval) => 1)
(gaussianSample r x) ∂MeasureTheory.Measure.pi fun (x : Fin 2) => ProbabilityTheory.gaussianReal 0 1
theorem
Verification.gaussianBivariate_sample_integral_continuousAt
{r : ℝ}
(hr : r ∈ Set.Icc (-1) 1)
(u : Fin 2 → ↑unitInterval)
:
ContinuousAt
(fun (s : ℝ) =>
∫ (x : Fin 2 → ℝ), (Set.Iic u).indicator (fun (x : Fin 2 → ↑unitInterval) => 1)
(gaussianSample s x) ∂MeasureTheory.Measure.pi fun (x : Fin 2) => ProbabilityTheory.gaussianReal 0 1)
r
theorem
Verification.gaussianBivariate_cdf_continuous
(u : Fin 2 → ↑unitInterval)
:
Continuous fun (r : ↑(Set.Icc (-1) 1)) => (gaussianBivariate ↑r ⋯).cdf u
theorem
Verification.gaussianBivariate_cdf_tendsto_zero
(u : Fin 2 → ↑unitInterval)
:
Filter.Tendsto (fun (r : ↑(Set.Icc (-1) 1)) => (gaussianBivariate ↑r ⋯).cdf u) (nhds ⟨0, ⋯⟩)
(nhds ((ProbabilityTheory.Copula.independence 2).cdf u))
theorem
Verification.gaussianBivariate_cdf_tendsto_one
(u : Fin 2 → ↑unitInterval)
:
Filter.Tendsto (fun (r : ↑(Set.Icc (-1) 1)) => (gaussianBivariate ↑r ⋯).cdf u) (nhds ⟨1, ⋯⟩)
(nhds ((ProbabilityTheory.Copula.comonotonic 2).cdf u))
theorem
Verification.gaussianBivariate_cdf_tendsto_negative_one
(u : Fin 2 → ↑unitInterval)
:
Filter.Tendsto (fun (r : ↑(Set.Icc (-1) 1)) => (gaussianBivariate ↑r ⋯).cdf u) (nhds ⟨-1, ⋯⟩)
(nhds (ProbabilityTheory.Copula.countermonotonic.cdf u))