Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Unlike frequentist methods that rely solely on sample data, Bayesian inference combines prior knowledge (prior probability) with current data (likelihood) to produce a posterior probability.
