Bayesian approach to extreme-value statistics based on conditional maximum-entropy method
arXiv:1810.00035 · doi:10.1088/1742-6596/1113/1/012001
Abstract
Recently, the conditional maximum-entropy method (abbreviated as C-MaxEnt) has been proposed for selecting priors in Bayesian statistics in a very simple way. Here, it is examined for extreme-value statistics. For the Weibull type as an explicit example, it is shown how C-MaxEnt can give rise to a prior satisfying Jeffreys' rule.
10 pages, 1 figure. To appear in J. Phys.: Conf. Ser