Results 1 to 10 of about 3,921 (68)
Cumulative Prospect Theory Version with Fuzzy Values of Outcome Estimates
Choosing solutions under risk and uncertainty requires the consideration of several factors. One of the main factors in choosing a solution is modeling the decision maker’s attitude to risk. The expected utility theory was the first approach that allowed
Oleg Uzhga-Rebrov, Peter Grabusts
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Psychiatric disorders such as depressive and anxiety disorders are associated with altered decision-making under risk. Recent advances in neuroeconomics and computational psychiatry have further discomposed risk-based decision-making into distinct ...
Natsumi Shimizu +9 more
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Nonlinear Probability Weighting in Depression and Anxiety: Insights From Healthy Young Adults
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
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Normalized Augmented Inverse Probability Weighting with Neural Network Predictions
The estimation of average treatment effect (ATE) as a causal parameter is carried out in two steps, where in the first step, the treatment and outcome are modeled to incorporate the potential confounders, and in the second step, the predictions are ...
Mehdi Rostami, Olli Saarela
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Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random
The augmented inverse probability weighting is well known for its double robustness in missing data and causal inference. If either the propensity score model or the outcome regression model is correctly specified, the estimator is guaranteed to be ...
Fei Wang, Yuhao Deng
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In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
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Probability weighting function in experiment using graphically represented probability information
A psychological experiment was conducted to estimate probability weighting function whose stimuli were graphically presented. We conducted a modified experiment of Wu and Gonzalez (1996) study by using graphical representation of lotteries.
Hajime Murakami +4 more
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Self-Distancing Reduces Probability-Weighting Biases
We have abundant evidence that people exhibit biases in weighting probability information. The current study aims to examine whether self-distancing would reduce these biases.
Qingzhou Sun +3 more
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Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modelling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design ...
Moritz eBoos +3 more
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A Novel Probability Weighting Function Model with Empirical Studies
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
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