Nonlinear Probability Transformation

Nonlinear Probability Transformation is a cognitive psychology construct that represents the distortion of objective probabilities into subjective decision weights in prospect theory, differing from linear probability weighting by capturing the tendency of individuals to overweight small probabilities and underweight large probabilities in risky decision-making.

59

Publications

8.6K

Citations

152

Authors

94

Institutions

Publications per year

2017–2026

8

Variants

Probability Weighting Function

Authors

152

  1. MA
    Max A. Halvorson

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

  2. XL
    Xiaoquan Liu

    University of Nottingham Ningbo China, China

    2 publications · 183 citations

    2

    h-index

  3. KM
    Kevin M. King

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

  4. BD
    Byeng D. Youn

    Seoul National University, South Korea

    2 publications · 378 citations

    2

    h-index

  5. CM
    Connor McCabe

    University of Washington, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 152

Venues

  1. Journal of Banking & Finance

    2 publications · 156 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 63 citations

    2

    h-index

  3. Psychological Review

    2 publications · 74 citations

    2

    h-index

  4. Journal of the American Statistical Association

    2 publications · 1.3K citations

    2

    h-index

  5. 2

    h-index

1–5