Prior Elicitation

Prior Elicitation is a methodological framework within Bayesian model building that systematically translates expert knowledge or external information into a formal prior distribution through structured interrogation, judgment quantification, and statistical modeling to inform subsequent Bayesian inference.

131

Publications

8.8K

Citations

353

Authors

229

Institutions

Publications per year

2017–2026

33

Authors

353

  1. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    6 publications · 290 citations

    6

    h-index

  2. PH
    Paul H. Garthwaite

    The Open University, United Kingdom

    6 publications · 227 citations

    6

    h-index

  3. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    6 publications · 1.5K citations

    6

    h-index

  4. KM
    Kerrie Mengersen

    Queensland University of Technology, Australia

    5 publications · 524 citations

    5

    h-index

  5. SL
    Samantha Low‐Choy

    Queensland University of Technology, Australia

    4 publications · 481 citations

    4

    h-index

1–5 of 353

Venues

  1. Bayesian Analysis

    11 publications · 461 citations

    11

    h-index

  2. Statistics in Medicine

    5 publications · 228 citations

    5

    h-index

  3. Environmetrics

    3 publications · 124 citations

    3

    h-index

  4. Biometrics

    3 publications · 52 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 70 citations

    3

    h-index

1–5