Uncertainty-Aware Efficient Estimation of the Probability Density Function for Excessive Rolling of a Ship

dc.contributor.author	Takami, Tomoki
dc.contributor.author	Kitahara, Masaru
dc.contributor.author	Maki, Atsuo
dc.contributor.author	Dostal, Leo
dc.date.accessioned	2026-08-20T21:09:58Z
dc.date.available	2026-08-20T21:09:58Z
dc.date.copyright	2025/07/31
dc.date.issued	2025
dc.identifier.other	AJRUA6.RUENG-1626.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314053
dc.description.abstract	AbstractThis paper proposes a methodology to efficiently quantify an uncertainty in the probability density function (PDF) of excessive rolling of a ship. To this end, the Bayesian inference scheme is introduced to estimate the posterior distribution of ...
dc.publisher	American Society of Civil Engineers
dc.title	Uncertainty-Aware Efficient Estimation of the Probability Density Function for Excessive Rolling of a Ship
dc.type	Journal Article
dc.journal.volume	11
dc.journal.issue	4
dc.journal.title	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi	10.1061/AJRUA6.RUENG-1626
dc.journal.fristpage	04025060-1
dc.journal.lastpage	04025060-12
dc.page	12
dc.tree	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004
dc.contenttype	Fulltext