Machine Learning, Signal Processing, Bayesian Statistics, Editors Pick, Getting Started.
They use both the prior probability and data to construct the posterior distribution. To better understand the difference between these two, consider the well-known Baye’s law: P(θ) is the prior belief you have about the parameter before collecting (observing) any data, P(X|θ) is the likelihood