Building on the previous lecture on likelihoods, here we examined bayesion binomial likelihood calculatons, where we incorporate prior information into our inferences to calculate a posterior distribution. We conclude the lecture by discussing Bayesian estimation
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Bayesian Inference for Binomial Proportions by Daniel Lakens
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