Uncertainty Elicitation

Uncertainty Elicitation is a formal method within expert elicitation that quantifies subjective judgments about uncertain quantities by extracting and characterizing the degree of confidence, variability, or probabilistic belief an expert holds regarding unknown parameters or future events.

213

Publications

14.3K

Citations

610

Authors

350

Institutions

Publications per year

2017–2026

52

Authors

610

  1. AO
    Anthony O’Hagan

    University of Sheffield, United Kingdom

    6 publications · 1.7K citations

    6

    h-index

  2. JE
    Jeremy E. Oakley

    University of Sheffield, United Kingdom

    3 publications · 298 citations

    3

    h-index

  3. MR
    Marius Rodriguez

    Federal Reserve Board of Governors, United States

    3 publications · 148 citations

    3

    h-index

  4. OV
    Olesya V. Grishchenko

    Federal Reserve Board of Governors, United States

    3 publications · 148 citations

    3

    h-index

  5. DC
    Danilo Cascaldi-Garcia

    Federal Reserve Board of Governors, United States

    3 publications · 148 citations

    3

    h-index

1–5 of 610

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 716 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 153 citations

    4

    h-index

  3. Management Science

    4 publications · 664 citations

    4

    h-index

  4. IEEE Transactions on Engineering Management

    3 publications · 342 citations

    3

    h-index

  5. Decision Sciences

    3 publications · 65 citations

    3

    h-index

1–5