Parameter measurability for the Poisson distribution #
Measurability in the rate lets measurable rate maps produce measurable measure-valued Poisson families and permits packaging such families as kernels.
theorem
TauCeti.Probability.measurable_poissonMeasure :
Measurable fun (r : NNReal) => ProbabilityTheory.poissonMeasure r
The Poisson family is measurable in its rate.
This permits composition with measurable rate maps and packages the resulting measure-valued family as a kernel.
theorem
TauCeti.Probability.measurable_pi_poissonMeasure
{ι : Type u_1}
[Fintype ι]
:
Measurable fun (r : ι → NNReal) => MeasureTheory.Measure.pi fun (i : ι) => ProbabilityTheory.poissonMeasure (r i)
A finite product of Poisson laws is measurable jointly in its rate vector.
theorem
TauCeti.Probability.measurable_pi_poissonMeasure_mul_toNNReal
{ι : Type u_1}
[Fintype ι]
(p : ι → NNReal)
:
Measurable fun (x : ℝ) => MeasureTheory.Measure.pi fun (i : ι) => ProbabilityTheory.poissonMeasure (p i * x.toNNReal)
The finite product of Poisson laws with rates p i * Real.toNNReal x is a measurable
mixing kernel on the real line.