Probability Encoding

Probability Encoding is a methodological framework in probability judgment that systematically elicits and quantifies subjective beliefs or uncertainties as numerical probabilities, distinguishing itself by formalizing the translation of intuitive or qualitative assessments into coherent, decision-analytic probabilistic representations.

55

Publications

4.8K

Citations

119

Authors

79

Institutions

Publications per year

2017–2026

16

Authors

119

  1. TS
    Thomas S. Wallsten

    University of North Carolina at Chapel Hill, United States

    6 publications · 528 citations

    6

    h-index

  2. JF
    Janneke F. M. Jehee

    Radboud University Nijmegen, Netherlands

    3 publications · 185 citations

    3

    h-index

  3. DV
    David V. Budescu

    Fordham University, United States

    3 publications · 441 citations

    3

    h-index

  4. RF
    Ruma Falk

    Hebrew University of Jerusalem, Israel

    3 publications · 346 citations

    3

    h-index

  5. SG
    Samuel G. B. Johnson

    Yale University, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 119

Venues

  1. Mind & Language

    3 publications · 142 citations

    3

    h-index

  2. Management Science

    3 publications · 1.1K citations

    3

    h-index

  3. Psychological Review

    3 publications · 335 citations

    3

    h-index

  4. Cognition

    2 publications · 33 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 33 citations

    2

    h-index

1–5