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

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    AJRUA6.RUENG-1626.pdf (1.974Mb)
    Date
    2025
    Author
    Takami, Tomoki
    Kitahara, Masaru
    Maki, Atsuo
    Dostal, Leo
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    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 ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314053
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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