Theorems · Theorem · probability
ProbabilityTheory.sum_meas_smul_cond_fiber
∀ {Ω : Type u_1} {α : Type u_3} {m : MeasurableSpace Ω} [inst : Fintype α] [inst_1 : MeasurableSpace α]
[DiscreteMeasurableSpace α] {X : Ω → α},
Measurable X →
∀ (μ : MeasureTheory.Measure Ω) [MeasureTheory.IsFiniteMeasure μ], ∑ x, μ (X ⁻¹' {x}) • μ[|X ⁻¹' {x}] = μThe law of total probability for a random variable taking finitely many values: a measure
μ can be expressed as a linear combination of its conditional measures μ[|X ← x] on fibers of a
random variable X valued in a fintype.
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- Foundations
- Depth 198 from the axioms · uses propext, Classical.choice, Quot.sound
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