The posterior distribution or posterior is the probability distribution obtained by updating the Prior with new information expressed by the Likelihood through Bayes' theorem. The posterior contains all the information regarding a proposition, such as a scientific hypothesis or the parameters of a model. Specifically in Bayesian inference, the posterior represents the probability distribution of the parameters being estimated, and the mode of this distribution is the best estimate of these parameters.