Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
typically consider a sampling density that is broader than the target. However, for the harmonic mean estimator we have the reverse since the prior distribution, which encapsulates our initial knowledge of the model parameters, is typically broader than the posterior, which encapsulates our