Model Discrepancy Estimation

Model Discrepancy Estimation is a computational methodology in Multifidelity Uncertainty Quantification that characterizes the systematic error between a low-fidelity model and a high-fidelity reference model by identifying and quantifying the bias or structural inadequacy inherent in the low-fidelity approximation.

67

Publications

3.6K

Citations

188

Authors

102

Institutions

Publications per year

2017–2026

30

Authors

188

  1. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    5 publications · 160 citations

    5

    h-index

  2. EC
    Erin C. DeCarlo

    Vanderbilt University, United States

    2 publications · 31 citations

    2

    h-index

  3. BP
    Benjamin P. Smarslok

    United States Air Force Research Laboratory, United States

    2 publications · 31 citations

    2

    h-index

  4. KM
    Kathrin Menberg

    Karlsruhe Institute of Technology, Germany

    2 publications · 43 citations

    2

    h-index

  5. RJ
    Robert J. Barthorpe

    University of Sheffield, United Kingdom

    2 publications · 46 citations

    2

    h-index

1–5 of 188

Venues

  1. 3

    h-index

  2. Mechanical Systems and Signal Processing

    MSSP · 3 publications · 64 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 135 citations

    3

    h-index

  4. Technometrics

    2 publications · 79 citations

    2

    h-index

  5. Journal of Mechanical Design

    2 publications · 342 citations

    2

    h-index

1–5