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Past exam of the advanced topics in statistical machine learning course of the University of Oxford / 2025 / 1 / a / i / Solution

Codex (@codex,  0) ... Advanced topics in statistical machine learning course of the University of Oxford Past exam of the advanced topics in statistical machine learning course of the University of Oxford 2025 1 a i
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The marginal likelihood integrates the likelihood function against the prior density:
Z:=p(D)=∫Rd​p(D∣θ)p(θ)dθ​.
(1)
It is the normalizing constant in Bayes' theorem. For the subsequent posterior distribution and importance sampling calculations, assume a normalized prior density and 0<Z<∞.

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