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A Novel Probability Weighting Function Model with Empirical Studies
International Journal of Computational Intelligence Systems, 2020 Probability weighting is one of the key components of the modern risky decision-making theories, an effective probability weight function can more accurately describe the decision-makers' subjective response to the event probability.
Sheng Wu +4 more
doaj +3 more sources
Curvature of the Probability Weighting Function [PDF]
Management Science, 1996 When individuals choose among risky alternatives, the psychological weight attached to an outcome may not correspond to the probability of that outcome. In rank-dependent utility theories, including prospect theory, the probability weighting function permits probabilities to be weighted nonlinearly. Previous empirical studies of the weighting function
George Wu, Richard Gonzalez
semanticscholar +2 more sources
Nonlinear Probability Weighting in Depression and Anxiety: Insights From Healthy Young Adults
Frontiers in Psychiatry, 2022 Both depressive and anxiety disorders have been associated with excessive risk avoidant behaviors, which are considered an important contributor to the maintenance and recurrence of these disorders.
Kosuke Hagiwara +6 more
doaj +2 more sources
Psychophysics of the probability weighting function [PDF]
SSRN Electronic Journal, 2011 Abstract A probability weighting function w ( p ) for an objective probability p in decision under risk plays a pivotal role in Kahneman–Tversky prospect theory. Although recent studies in econophysics and neuroeconomics widely utilized probability weighting functions, psychophysical foundations of the probability weighting functions
Taiki Takahashi
semanticscholar +3 more sources
Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice
Scientific Reports, 2022 In this study, we provide causal evidence that the dorsolateral prefrontal cortex (DLPFC) supports the computation of subjective value in choices under risk via its involvement in probability weighting.
Ksenia Panidi +3 more
doaj +2 more sources
A Note on the Shape of the Probability Weighting Function [PDF]
, 2018 The focus of this contribution is on the transformation of objective probability, which in Prospect Theory is commonly referred as probability weighting. Empirical evidence suggests a typical inverse-S shaped function: decision makers tend to overweight small probabilities, and underweight medium and high probabilities; moreover, the probability ...
M. Nardon, Paolo Pianca
semanticscholar +2 more sources
Environmental Pollution, 2021 Increasingly, studies suggest benefits of natural environments or greenness on children’s health. However, little is known about cumulative exposure or windows of susceptibility to greenness exposure.
Marcia P Jiménez +2 more
exaly +2 more sources
What Determines the Shape of the Probability Weighting Function [PDF]
SSRN Electronic Journal, 2006 Economics Working Paper Series, 06 ...
Helga Fehr-Duda +2 more
semanticscholar +5 more sources
A simple derivation of Prelec's probability weighting function [PDF]
Journal of Mathematical Psychology, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali al-Nowaihi, S. Dhami
semanticscholar +4 more sources
Towards a general class of parametric probability weighting functions [PDF]
Soft Computing, 2020 In this study, we present a novel methodology that can be used to generate parametric probability weighting functions, which play an important role in behavioral economics, by making use of the Dombi modifier operator of continuous-valued logic.
J. Dombi, T. Jónás
semanticscholar +4 more sources