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    Inferring Extreme Values From Measured Averages Under Deep Uncertainty 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2022:;volume( 007 ):;issue: 002:;page 21002-1
    Author(s): Ben-Haim, Yakov
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Averages are measured in many circumstances for diagnostic, predictive, or surveillance purposes. Examples include average stress along a beam, average speed along a section of highway, average alcohol consumption per ...
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    Paradox of Optimal Learning: An Info-Gap Perspective 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2023:;volume( 009 ):;issue: 003:;page 31203-1
    Author(s): Ben-Haim, Yakov; Cogan, Scott
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design and technological risk assessment both entail learning or discovering new knowledge. Optimal learning is a procedure whereby new knowledge is obtained while minimizing some specific measure of effort ...
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    Richardson Extrapolation: An Info-Gap Analysis of Numerical Uncertainty 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 002:;page 021004-1
    Author(s): Ben-Haim, Yakov; Hemez, François
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computational modeling and simulation is a central tool in science and engineering, directed at solving partial differential equations for which analytical solutions are unavailable. The continuous equations are generally ...
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