This paper addresses the most important probability weighting functions.
This paper addresses the most important probability weighting functions.
The following aspects will be discussed:
•Classical Probability Weighting Models
•Extended Parametric Models
•Estimation Techniques
•Neuroeconomic and Psychological Foundations
•The Description-Experience Gap
•Contextual and Cultural Variation
•Applications in AI and Decision Systems
•Debiasing Interventions
Johann Markus Schauerhuber
During his studies and academic resp. professional activities Prof. Dr. Dr. Johann Markus Schauerhuber has been intensively involved in statistical programming, stochastic, risk theory, simulation and mathematical modeling.
Most of his professional experience has been gained in the university domain as an academic director, postdoc lecturer / researcher and in government authorities.
Email: jm_schauerhuber@gmx.at
Probability Weighting Function Prospect Theory Models