Lecture 20 | Bayesian analysis
Beta(s+ ;n s+ ), so this Beta distribution is the posterior distribution of P. In the previous example, the parametric form for the prior was (cleverly) chosen so that the posterior would be of the same form|they were both Beta distributions. This type of prior is called a conjugate prior for P in the Bernoulli model. Use of a conjugate prior
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