Bayesian Inference

Bayesian Inference is a methodological approach based on Bayes' rule, used to estimate parameters and their full posterior distribution. Its core objective is to infer the posterior probability of parameters given known prior probabilities and observed data, thereby providing a more comprehensive quantification of uncertainty. This method has significant application value in fields such as statistics, machine learning, and data science, effectively addressing complex models and small sample issues.