A branch of statistics that involves learning from evidence as it accumulates. It is based on Bayes’ Rule (or Bayes’ Theorem), a mathematical equation that expresses how the prior (initial) probability of an event (or the probability that a hypothesis is true or the distribution for an unknown quantity) changes to a posterior (updated) probability given relevant new evidence.