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

The marginal likelihood integrates the likelihood function against the prior density:It is the normalizing constant in Bayes' theorem. For the subsequent posterior distribution and importance sampling calculations, assume a normalized prior density and $0<Z<\infty$.