Bayesian Prior Elicitation

Bayesian Prior Elicitation is the systematic process of formulating and quantifying prior knowledge or beliefs about model parameters in a Bayesian framework, distinguishing it from other prior specification methods by its emphasis on transparent, expert-informed, and often interactive derivation of prior distributions.

106

Publications

5.3K

Citations

326

Authors

210

Institutions

Publications per year

2017–2026

25

Authors

326

  1. EW
    Eric‐Jan Wagenmakers

    University of Amsterdam, Netherlands

    6 publications · 284 citations

    6

    h-index

  2. QF
    Quentin F. Gronau

    University of Amsterdam, Netherlands

    3 publications · 206 citations

    3

    h-index

  3. SL
    Samantha Low‐Choy

    Queensland University of Technology, Australia

    3 publications · 465 citations

    3

    h-index

  4. DS
    Debajyoti Sinha

    Florida State University, United States

    3 publications · 566 citations

    3

    h-index

  5. AL
    Alexander Ly

    University of Amsterdam, Netherlands

    3 publications · 206 citations

    3

    h-index

1–5 of 326

Venues

  1. Bayesian Analysis

    5 publications · 291 citations

    5

    h-index

  2. The American Statistician

    4 publications · 297 citations

    4

    h-index

  3. Biometrics

    3 publications · 52 citations

    3

    h-index

  4. Statistics in Medicine

    3 publications · 123 citations

    3

    h-index

  5. International Journal of Forecasting

    2 publications · 49 citations

    2

    h-index

1–5