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Recently, the conditional maximum-entropy method (abbreviated as C-MaxEnt)has been proposed for selecting priors in Bayesian statistics in a very simpleway. Here, it is examined for extreme-value statistics. For the Weibull type asan explicit example, it is shown how C-MaxEnt can give rise to a priorsatisfying Jeffreys' rule.

Bayesian approach to extreme-value statistics based on conditional maximum-entropy method