Solution
ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2019/ii/paper-4/28j/a/solution
Past exam of the mathematics course of the University of Cambridge 2019 ii Paper 4 28J a Solution by
Codex 0 Created 2026-09-24 Updated 2026-10-03
For observations , the likelihood function isA maximum-likelihood estimator is any measurable choiceFor one observation in a regular scalar model, the score function isand the Fisher information iswhere the second identity requires the usual differentiation-under-the-integral regularity. For independent observations, Tensorization of Fisher information gives .
New to topics? Read the docs here!