Quantile Elicitation

Quantile Elicitation is a methodological technique within expert judgment elicitation that involves the structured extraction of specified quantiles from an expert's subjective probability distribution to characterize uncertainty in a target quantity.

17

Publications

639

Citations

33

Authors

26

Institutions

Publications per year

2017–2026

5

Authors

33

  1. PH
    Paul H. Garthwaite

    The Open University, United Kingdom

    2 publications · 93 citations

    2

    h-index

  2. JE
    J. Eric Bickel

    The University of Texas at Austin, United States

    2 publications · 28 citations

    2

    h-index

  3. DV
    David V. Budescu

    Fordham University, United States

    2 publications · 99 citations

    2

    h-index

  4. ND
    Ning Du

    DePaul University, United States

    2 publications · 99 citations

    2

    h-index

  5. AO
    Anthony O’Hagan

    University of Sheffield, United Kingdom

    2 publications · 156 citations

    2

    h-index

1–5 of 33

Venues

  1. Decision Analysis

    3 publications · 63 citations

    3

    h-index

  2. Operations Research

    2 publications · 114 citations

    2

    h-index

  3. Economic Theory

    1 publications · 34 citations

    1

    h-index

  4. Management Science

    1 publications · 83 citations

    1

    h-index

  5. 1

    h-index

1–5