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
Parents
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University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
121 citations
University of Washington
Seattle, United States
3 h-index
8 publications
353 citations
University of Iowa
Iowa City, United States
2 h-index
4 publications
756 citations

University of Essex
Colchester, United Kingdom
2 h-index
2 publications
183 citations

Kyoto University
Kyoto, Japan
2 h-index
3 publications
203 citations
Lancaster University
Lancaster, United Kingdom
2 h-index
4 publications
366 citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
111 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
4.2K citations
1–8 of 94
2 publications · 156 citations
2
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Repository · 2 publications · 63 citations
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2 publications · 74 citations
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2 publications · 1.3K citations
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2 publications · 60 citations
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