Disjoint HPD regions refer to the highest posterior density regions in Bayesian statistics that do not overlap, meaning each region represents a distinct interval where the posterior probability density is concentrated. These regions are crucial for understanding the uncertainty in parameter estimates and provide clear insights into which values are most plausible given the observed data.
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