Bayesian methods is a statistical inference framework that uses Bayes' theorem to update the probability for a hypothesis as more evidence or information becomes available. This approach treats unknown parameters as random variables, incorporating prior knowledge about their distribution and providing a principled means to quantify uncertainty and make probabilistic predictions.