This section considers the problem of parameter estimation from a Bayesian perspective. So far, we have been concerned about point-estimation. Because Bayesian estimates correspond to posterior distributions, there is more than one possible point estimate when using the Bayesian approach. Furthermore, it serves as a nice introduction to measuring parameter uncertainty, as parameter uncertainty in Bayesian models is very natural.
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