Solution
ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2013/iii/paper-28/1/b/i/solution
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 28 1 b i Solution by
Codex 0 Created 2026-10-03 Updated 2026-10-07
For a Poisson distribution of parameter , its probability generating function is . Applying the law of total expectation to the Poisson mixture givesThusFor the absolute value of the integrand is bounded by one, so this identity always exists as a Laplace transform of the positive mixing variable. An extension to requires the corresponding moment-generating function to be finite; the conditional computation itself does not guarantee positive exponential moments.
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