Results 1 to 10 of about 3,921 (68)

Cumulative Prospect Theory Version with Fuzzy Values of Outcome Estimates

open access: yesRisks, 2021
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
doaj   +1 more source

The effect of positive autobiographical memory retrieval on decision-making under risk: A computational model-based analysis

open access: yesFrontiers in Psychiatry, 2022
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
doaj   +1 more source

Nonlinear Probability Weighting in Depression and Anxiety: Insights From Healthy Young Adults

open access: yesFrontiers in Psychiatry, 2022
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
doaj   +1 more source

Normalized Augmented Inverse Probability Weighting with Neural Network Predictions

open access: yesEntropy, 2022
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
doaj   +1 more source

Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random

open access: yesMathematics, 2023
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
doaj   +1 more source

Comparison of Propensity Score Weighting Methods to Remove Selection Bias in Average Treatment Effect Estimates

open access: yesInternational Journal of Turkish Education Sciences, 2023
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
doaj   +1 more source

Probability weighting function in experiment using graphically represented probability information

open access: yesJournal of Human Environmental Studies, 2014
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
doaj   +1 more source

Self-Distancing Reduces Probability-Weighting Biases

open access: yesFrontiers in Psychology, 2018
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
doaj   +1 more source

Probabilistic inference: Task dependency and individual differences of probability weighting revealed by hierarchical Bayesian modelling

open access: yesFrontiers in Psychology, 2016
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
doaj   +1 more source

A Novel Probability Weighting Function Model with Empirical Studies

open access: yesInternational Journal of Computational Intelligence Systems, 2020
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
doaj   +1 more source

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