Results 251 to 260 of about 114,528 (294)
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Heterogeneity of probability weighting in investment decisions

Economics Letters, 2023
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Yuzhe Sun, Shunming Zhang
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On the Shape of the Probability Weighting Function

Cognitive Psychology, 1999
Empirical studies have shown that decision makers do not usually treat probabilities linearly. Instead, people tend to overweight small probabilities and underweight large probabilities. One way to model such distortions in decision making under risk is through a probability weighting function.
R, Gonzalez, G, Wu
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Does probability weighting matter in probability elicitation?

Journal of Mathematical Psychology, 2011
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Budescu, David, Abbas, Ali, Wu, Lijuan
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The Probability Weighting Function

Econometrica, 1998
Summary: 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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Lottery Decisions and Probability Weighting Function

Journal of Risk and Uncertainty, 2001
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Alarie, Yves, Dionne, Georges
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Behind the Numbers: Inverse Probability Weighting

Radiology, 2014
Inverse 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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Probability distribution based weights for weighted arithmetic aggregation operators

Fuzzy Optimization and Decision Making, 2015
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Zhan Su, Zeshui Xu, Shousheng Liu
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Attention-driven probability weighting

Economics Letters, 2021
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On Scatters of Probability Distributions and OWA Weights Collections

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2019
This study proposes a novel concept of Scatter for probability distribution (on [0,1]). The proposed measurement is different from famous Shannon Entropy since it considers [0,1] as a chain instead of a normal set. The measurement works easily and reasonably in practice and conforms to human intuition.
LeSheng Jin   +2 more
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Expectations, Disappointment, and Rank-Dependent Probability Weighting

Theory and Decision, 2006
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Delquié, Philippe, Cillo, Alessandra
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