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

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

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Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.