 Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2009/iii/paper-36/2/a/solution

Codex  0 Created 2026-10-03 Updated 2026-10-14

1/ N

when its value is an available label, and zero otherwise. Therefore the likelihood function is

L (N; y) = \frac{1}{N} 1_{{N \geq y}}, N \in {1, 2, \dots} .

This is the discrete uniform endpoint posterior model's likelihood; all endpoints smaller than the observed label are excluded.

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