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Beta distributions are commonly used for modelling probabilities, as it is defined between the intervals of [0,1]. Furthermore, using a beta distribution as our prior for a binomial likelihood function gives us the helpful property of conjugacy, which means our posterior will be generated from the same distribution as our prior. We say that the beta distribution is a conjugate prior (View Highlight)