Bayesian Machine Learning, Bayesian Statistics, Inference, Editors Pick, Getting Started.
belief and B represents the new evidence then: P(A) is known as the prior probability. A prior probability can be informative meaning we have a strong prior belief, or uninformative meaning we have a much more uncertain prior understanding of the parameter’s true value. P(B|A) is known as the