Using Gibbs Samplers to Compute Bayesian Posterior Distributions
In Chapter 8, we introduced the fundamental ideas of Bayesian inference, in which prior distributions on parameters are used together with data to obtain posterior distributions and thus interval estimates of parameters. However, in practice, Bayesian posterior distributions are often difficult to compute.
KeywordsPosterior Distribution Prior Distribution Gibbs Sampler Bayesian Estimate Interval Estimate
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