Bayesian updating is a statistical method that involves revising the probability estimate for a hypothesis as more evidence or information becomes available. This process is grounded in Bayes' theorem, which quantifies how to update prior beliefs in light of new data, allowing for dynamic learning and decision-making based on accumulating evidence.
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