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Past exam of the mathematics course of the University of Cambridge / 2018 / ii / Paper 3 / 28K / a / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2018 ii Paper 3 28K a
Created 2026-09-24 Updated 2026-10-03  0 By others on same topic  0 Discussions Create my own version
For one observation with density f(x,θ), the Fisher information matrix at θ0​ is
I(θ0​)=Eθ0​​[∇θ​logf(X,θ0​)∇θ​logf(X,θ0​)T].
(1)
Here
logf(x,θ)=constant−21​∥x−θ∥2,∇θ​logf(x,θ)=x−θ.
(2)
Since Covθ0​​(X)=Ip​, the Fisher information of a multivariate normal location model is
I(θ0​)=Ip​.​
(3)
The information in the full independent sample is nIp​ by Tensorization of Fisher information.

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