Bayesian Statistics, Model Comparison, Model Selection, Machine Learning, Thoughts And Theory.
impose this constraint when learning the target distribution from posterior samples. In addition, we propose strategies to estimate the variance of the learnt harmonic mean estimator, its own variance, and other sanity checks. (Further details can be found in our related article: McEwen et al. 2021