What is Bayesian Inference?
In statistics and data science, Bayesian inference is a method of updating probabilities as new data becomes available. It applies Bayes’ theorem to combine prior knowledge with observed evidence, producing a posterior distribution that reflects updated beliefs. Bayesian inference treats probability as a measure of uncertainty, not only as a long-run frequency. It is widely used to model uncertainty, integrate prior information, and adapt conclusions as new data arrive.
