A Posterior

A posterior, in the context of statistics and probability, refers to the updated belief about the likelihood of an event or hypothesis after considering new evidence or data. It is derived using Bayes' theorem, which combines prior beliefs with current observations to produce a revised probability. Essentially, the posterior reflects how our understanding has changed once we take additional information into account. This concept is fundamental in fields like data analysis and machine learning, enabling more informed decision-making based on evolving evidence.