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dc.contributor.author | Abe S. | |
dc.date.accessioned | 2019-01-22T20:47:40Z | |
dc.date.available | 2019-01-22T20:47:40Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/148810 | |
dc.description.abstract | © Published under licence by IOP Publishing Ltd. 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. | |
dc.relation.ispartofseries | Journal of Physics: Conference Series | |
dc.title | Bayesian approach to extreme-value statistics based on conditional maximum-entropy method | |
dc.type | Conference Paper | |
dc.relation.ispartofseries-issue | 1 | |
dc.relation.ispartofseries-volume | 1113 | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS17426588-2018-1113-1-SID85059431466 |