Parameter Uncertainty Propagation

Parameter Uncertainty Propagation is a methodological framework within the domain of parameter estimation under uncertainty that characterizes how uncertainties in model parameters are transmitted through mathematical models to affect the uncertainty in model predictions.

279

Publications

14.4K

Citations

822

Authors

380

Institutions

Publications per year

2017–2026

92

Authors

822

  1. MB
    Michael Beer

    University of Liverpool, United Kingdom

    4 publications · 171 citations

    4

    h-index

  2. XH
    Xu Han

    Hunan University, China

    3 publications · 104 citations

    3

    h-index

  3. SM
    Sankaran Mahadevan

    Vanderbilt University, United States

    3 publications · 151 citations

    3

    h-index

  4. LR
    Luis Ricardez‐Sandoval

    University of Waterloo, Canada

    2 publications · 46 citations

    3

    h-index

  5. GI
    Gianluca Iaccarino

    Stanford University, United States

    3 publications · 45 citations

    3

    h-index

1–5 of 822

Venues

  1. 7

    h-index

  2. Reliability Engineering & System Safety

    7 publications · 1.2K citations

    7

    h-index

  3. Mechanical Systems and Signal Processing

    MSSP · 6 publications · 242 citations

    6

    h-index

  4. Journal of Sound and Vibration

    JSV · 6 publications · 364 citations

    6

    h-index

  5. Water Resources Research

    5 publications · 245 citations

    5

    h-index

1–5