Bayesian refers to a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more evidence becomes available. It combines prior knowledge with new data to make informed predictions or decisions. This method is widely used in various fields, including machine learning, economics, and medical research. In a Bayesian framework, probabilities are interpreted as degrees of belief rather than fixed frequencies. This allows for a more flexible analysis of uncertainty, enabling researchers to incorporate subjective opinions and prior experiences into their models. Overall, Bayesian methods provide a powerful tool for reasoning under uncertainty.