Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
normalised posterior itself (since the resulting estimator has zero variance). However, the target distribution must be normalised and the normalising constant of the posterior is the model evidence… precisely the term we are trying to estimate! While the optimal target (the normalised posterior)