The Bayesian approach is a statistical method that utilizes Bayes' theorem to update the probability of a hypothesis based on new evidence. It combines prior knowledge, represented as prior probabilities, with observed data to form posterior probabilities, making it a powerful tool in decision-making and inference.
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