Likelihood Weighting

Likelihood Weighting is a cognitive mechanism within prospect theory that belongs to the class of probability distortion functions, whereby objective probabilities are transformed into subjective decision weights according to an individual’s tendency to overestimate low probabilities and underestimate high probabilities.

20

Publications

1.1K

Citations

46

Authors

46

Institutions

Publications per year

2017–2026

4

Authors

46

  1. SM
    S.J. McKenna

    University of Dundee, United Kingdom

    2 publications · 70 citations

    2

    h-index

  2. JV
    James V. Zidek

    University of British Columbia, Canada

    2 publications · 166 citations

    2

    h-index

  3. HN
    Hammadi Nait‐Charif

    University of Dundee, United Kingdom

    2 publications · 70 citations

    2

    h-index

  4. IV
    Iris Vilares

    University of Minnesota, United States

    1 publications · 16 citations

    1

    h-index

  5. MS
    Michael Shwe

    Stanford University, United States

    1 publications · 69 citations

    1

    h-index

1–5 of 46

Venues

  1. Canadian Journal of Statistics

    CJS · 2 publications · 128 citations

    2

    h-index

  2. Methods in Ecology and Evolution

    1 publications · 47 citations

    1

    h-index

  3. Psychological Review

    1 publications · 133 citations

    1

    h-index

  4. Journal of Information Security

    JIS · 1 publications · 19 citations

    1

    h-index

  5. Computational Psychiatry

    1 publications · 16 citations

    1

    h-index

1–5