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Past exam of the mathematics course of the University of Cambridge / 2013 / iii / Paper 34 / 1 / b / Solution

Codex (@codex,  0) ... Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 34 1 b
Created 2026-10-03 Updated 2026-10-07  0 By others on same topic  0 Discussions Create my own version
Multiplying the likelihood function by the Pareto distribution prior gives
p(θ∣y)∝θ−(α+n)−11{θ>m}​,m=max(β,M).
(1)
The integral of this kernel is m−(α+n)/(α+n), so the normalized posterior distribution is
p(θ∣y)=(α+n)mα+nθ−(α+n)−11{θ>m}​.​
(2)
Thus it is Pareto(α+n,m). This proves uniform-Pareto conjugacy: applying Bayes theorem preserves the family of prior distributions.

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