Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
is not accessible in practice, we propose estimating an approximation using machine learning: This gives rise to the learnt harmonic mean estimator [12]. The learned approximation of the posterior need not be highly accurate. But, critically, it must not have fatter tails than the posterior. We