Theorems · Theorem · probability
ProbabilityTheory.mgf_map
∀ {Ω : Type u_1} {m : MeasurableSpace Ω} {Ω' : Type u_3} {mΩ' : MeasurableSpace Ω'} {μ : MeasureTheory.Measure Ω'}
{Y : Ω' → Ω} {X : Ω → ℝ},
AEMeasurable Y μ →
∀ {t : ℝ},
MeasureTheory.AEStronglyMeasurable (fun ω => Real.exp (t * X ω)) (MeasureTheory.Measure.map Y μ) →
ProbabilityTheory.mgf X (MeasureTheory.Measure.map Y μ) t = ProbabilityTheory.mgf (X ∘ Y) μ t- Defined in
- Mathlib.Probability.Moments.Basic
- Cited by
- 3 results in Mathlib
- Foundations
- Depth 255 from the axioms · uses propext, Classical.choice, Quot.sound
Around this declaration
Dashed lines are statement dependencies; solid lines are citations in proofs.
Cites10
Mathlib declarations this one mentions in its statement or cites explicitly in its proof. Plumbing is filtered out.
- Realstatement and proof · cited by 25,697
- MeasurableSpacestatement and proof · cited by 13,106
- MeasureTheory.Measurestatement and proof · cited by 10,939
- MeasureTheory.integralproof · cited by 1,779
- Real.expstatement and proof · cited by 871
- MeasureTheory.Measure.mapstatement and proof · cited by 858
- AEMeasurablestatement and proof · cited by 840
- MeasureTheory.AEStronglyMeasurablestatement and proof · cited by 755
- ProbabilityTheory.mgfstatement · cited by 113
- MeasureTheory.integral_mapproof · cited by 67
Cited by3
Results whose statement or proof uses this declaration.
- ProbabilityTheory.mgf_id_mapproof · cited by 5
- ProbabilityTheory.HasSubgaussianMGF.of_mapproof · cited by 2
- ProbabilityTheory.Kernel.HasSubgaussianMGF.of_mapproof · cited by 1