Bayesian inference

A statistical inference framework that represents uncertainty about parameters as probability distributions and updates a prior distribution to a posterior distribution using Bayes' theorem after observing data. It provides a coherent approach to parameter estimation, model comparison, and prediction, treating parameters as random rather than fixed quantities.