Theorems · Theorem · measure theory
MeasureTheory.ProbabilityMeasure.measurable_fun_prod
∀ {α : Type u_2} {β : Type u_3} [inst : MeasurableSpace α] [inst_1 : MeasurableSpace β],
Measurable fun μ => (↑μ.1).prod ↑μ.2The monoidal product is a measurable function from the product of probability spaces over
α and β into the type of probability spaces over α × β. Lemma 4.1 of [A synthetic approach to
Markov kernels, conditional independence and theorems on sufficient statistics][fritz2020].
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- Foundations
- Depth 219 from the axioms · uses propext, Classical.choice, Quot.sound
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- MeasureTheory.Measure.prodstatement and proof · cited by 353
- Measurable.compproof · cited by 234
- MeasureTheory.ProbabilityMeasurestatement and proof · cited by 127
- measurable_sndproof · cited by 94
- measurable_fstproof · cited by 79
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