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Past exam of the mathematics course of the University of Cambridge / 2021 / iii / Paper 326 / 3 / 2 / a

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2021 iii Paper 326 3 2
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a
The noise has the product Laplace distribution density
g(y)=∏j=1k​e−2∣yj​∣=e−2∥y∥1​,
(1)
which is normalized because ∫R​e−2∣t∣dt=1. By translation invariance of Lebesgue measure, the conditional law of A(u)+N has density
p(y∣u)=g(y−A(u))=exp[−2∥y−A(u)∥1​].
(2)
Hence an associated likelihood function is
L(u;y)=exp[−2∥y−A(u)∥1​]​.
(3)
The map (u,y)↦y−A(u) is measurable because A is measurable and vector subtraction is continuous. Composition with the continuous norm and exponential functions proves that L is jointly measurable.

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