Theorems · Theorem · probability
ProbabilityTheory.Kernel.IsCondKernel.isProbabilityMeasure_ae
∀ {α : Type u_1} {β : Type u_2} {Ω : Type u_3} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
{mΩ : MeasurableSpace Ω} (κ : ProbabilityTheory.Kernel α (β × Ω)) (κCond : ProbabilityTheory.Kernel (α × β) Ω)
[ProbabilityTheory.IsFiniteKernel κ.fst] [κ.IsCondKernel κCond] (a : α),
∀ᵐ (b : β) ∂κ.fst a, MeasureTheory.IsProbabilityMeasure (κCond (a, b))A conditional kernel is almost everywhere a probability measure.
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- Foundations
- Depth 228 from the axioms · uses propext, Classical.choice, Quot.sound
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