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In the Bayesian Beta posterior, the parameter α represents the observed number of successes plus the prior and β represents the number of failures plus the prior; the prior can be set to an uninformative Beta(1,1), and the posterior automatically accumulates α and β as evidence updates.
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10/14/2026
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