Bayesian Machine Learning, Bayesian Statistics, Inference, Editors Pick, Getting Started.
the case, the parameter’s probability distribution can be continuously inferred as new data come in no problem! However, in most real world problems the likelihood function is usually horrifically complicated or impossible to derive! In these cases, an expression for the posterior distribution can