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I am currently reading about bayesian methods in computation molecular evolution by yang. A bayesian model is just a model that draws its inferences from the posterior distribution, i.e. Utilizes a prior distribution and a likelihood. In section 5.2 it talks about priors, and. The bayesian, on the other hand, think that we start with some assumption about the parameters.
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