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The Probability Weighting Function
Econometrica, 1998Summary: A probability weighting function \(w(p)\) is a prominent feature of several non-expected utility theories, including prospect theory and rank-dependent models. Empirical estimates indicate that \(w(p)\) is regressive (first \(w(p)>p\), then \(w(p)
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Attention-driven probability weighting
Economics Letters, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Does probability weighting matter in probability elicitation?
Journal of Mathematical Psychology, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Budescu, David, Abbas, Ali, Wu, Lijuan
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Lottery Decisions and Probability Weighting Function
Journal of Risk and Uncertainty, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alarie, Yves, Dionne, Georges
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Expectations, Disappointment, and Rank-Dependent Probability Weighting
Theory and Decision, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Delquié, Philippe, Cillo, Alessandra
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Quantum probability weighted paths
Acta Physica Academiae Scientiarum Hungaricae, 1969The paper is concerned with the generalization ofFeynman’s method. A real “probability” measure is introduced for weighting trajectories and this is expressed as the boundary case of a measure containing one real parameter. For the finite values of the real parameter an equation of motion of the Fokker-Planck type is used.
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Behind the Numbers: Inverse Probability Weighting
Radiology, 2014Inverse probability weighting is a propensity score-based technique that can be used to compensate for imbalance in study groups. It is an alternative to regression-based adjustment of the outcomes. It has advantages over matching of cases on the basis of propensity scores when there are more than two groups to compare, when finding matches results in ...
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Tail Inference With Probability Weighted Moments
Mathematical Methods in the Applied SciencesABSTRACTThe tail of a probability distribution captures important information about the magnitude and frequency of extreme events. Thus, understanding the tail behavior is crucial in decision making and risk assessment. Statistical analysis and predictions of extreme events often require the estimation of the extreme value index, a key parameter that ...
Frederico Caeiro +2 more
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Emotional balance and probability weighting
Theory and Decision, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Charupat, Narat +4 more
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Tensor products and probability weights
International Journal of Theoretical Physics, 1987We study a general tensor product for two collections of related physical operations or observations. This is a free product, subject only to the condition that the operations in the first collection fail to have any influence on the statistics of operations in the second collection and vice versa.
Kläy, M., Randall, C., Foulis, D.
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