Results 11 to 20 of about 741,544 (321)

Early life exposure to greenness and executive function and behavior: An application of inverse probability weighting of marginal structural models.

open access: yesEnvironmental 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. Jimenez   +7 more
semanticscholar   +3 more sources

Towards a general class of parametric probability weighting functions [PDF]

open access: yesSoft Computing, 2020
AbstractIn 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.
József Dombi, Tamás Jónás
openaire   +3 more sources

Probability Weighting Functions* [PDF]

open access: yes, 2010
In this paper we begin by stressing the empirical importance of non-linear weighting of probabilities, which expected utility theory (EU) is unable to accommodate. We then go on to outline three stylized facts on non-linear weighting that any alternative
Ali al-Nowaihi, Sanjit Dhami
core   +2 more sources

Probability Weighting Functions [PDF]

open access: yesSSRN Electronic Journal, 2015
Cumulative prospect theory (CPT) has been proposed as an alternative to expected utility theory to explain irregular behavior by economic agents. CPT comprises two key transformations: one of outcome values and the other of objective probabilities. Risk attitudes are derived from the shapes of these transformations as well as their interaction.
Martina Nardon, Paolo Pianca
openaire   +1 more source

Nonparametric numerical approaches to probability weighting function construct for manifestation and prediction of risk preferences

open access: yesTechnological and Economic Development of Economy, 2023
Probability weighting function (PWF) is the psychological probability of a decision-maker for objective probability, which reflects and predicts the risk preferences of decision-maker in behavioral decisionmaking.
Sheng Wu   +4 more
doaj   +1 more source

Option Pricing with Mixed Lévy Subordinated Price Process and Implied Probability Weighting Function [PDF]

open access: yesJurnal derivate, 2019
It is essential to incorporate the impact of investor behavior when modeling the dynamics of asset returns. In this article, the authors reconcile behavioral finance and rational finance by incorporating investor behavior within the framework of dynamic ...
Abootaleb Shirvani   +3 more
semanticscholar   +1 more source

The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game [PDF]

open access: yesEuropean Control Conference, 2021
We consider a security game in a setting consisting of two players (an attacker and a defender), each with a given budget to allocate towards attack and defense, respectively, of a set of nodes.
Mustafa Abdallah   +3 more
semanticscholar   +1 more source

Minimizing Driving Risk of Mobile Robots by Combining a Goal Guidance Vector Algorithm with Reactive Navigation [PDF]

open access: yes한국정밀공학회지, 2021
In the navigation of mobile robots, the driving risk can be minimized by increasing the probability of success. The algorithm, which is currently commonly known as the shortest path algorithm, performs efficiently, but does not exhibit a good probability
Keun Ha Choi, SooHyun Kim
doaj   +1 more source

Nonlinear neurobiological probability weighting functions for aversive outcomes [PDF]

open access: yesNeuroImage, 2008
While mainstream economic models assume that individuals treat probabilities objectively, many people tend to overestimate the likelihood of improbable events and underestimate the likelihood of probable events. However, a biological account for why probabilities would be treated this way does not yet exist.
Berns, G.   +4 more
openaire   +3 more sources

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