Bayesian hypothesis testing is a statistical method that utilizes Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. It contrasts with traditional frequentist approaches by providing a way to quantify uncertainty and incorporate prior beliefs, allowing for a more flexible framework for decision-making based on data.
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