Noninformative priors (from invariance, maximum entropy).
Activity: think-pair-share the volume fraction of the outer shell of a uniform prior in N dimensions
Informative priors: from measurements, and subjectively. Issues with this.
Symmetric Bayesian view of parameters and data. Frequentist alternative.
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