Results 31 to 40 of about 114,812 (338)
A Novel Probability Weighting Function Model with Empirical Studies
International 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
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Frontiers 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
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Fitness-maximizers employ pessimistic probability weighting for decisions under risk
Evolutionary Human Sciences, 2020 The standard theory of rationality posits that agents order preferences according to average utilities associated with different choices. Expected utility theory has repeatedly failed as a predictive theory, as reflected in a growing literature in ...
Michael Holton Price +1 more
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Kernel Weighting for blending probability and non-probability survey samples
SORT, 2023 In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. We propose a new methodology based on the kernel weighting method.
Rueda, María del Mar +4 more
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A Testing Method of Probability Weighting Functions From an Axiomatic Perspective
Frontiers in Applied Mathematics and Statistics, 2018 This study presents a testing approach to examine various models of probability weighting functions that are considered nonlinear functions of probability in behavioral decision theory, such as prospect theory.
Kazuhisa Takemura +2 more
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Probability biases as Bayesian inference [PDF]
Judgment and Decision Making, 2006 In this article, I will show how several observed biases in human probabilistic reasoning can be partially explained as good heuristics for making inferences in an environment where probabilities have uncertainties associated to them.
André C. R. Martins
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A shocking experiment: New evidence on probability weighting and common ratio violations
Judgment and Decision Making, 2007 We study whether probability weighting is observed when individuals are presented with a series of choices between lotteries consisting of real non-monetary adverse outcomes, electric shocks.
Gregory S. Berns +3 more
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Probability Weighting as Evolutionary Second-best [PDF]
, 2010 The economic concept of the second-best involves the idea that multiple simultaneous deviations from a hypothetical first-best optimum may be optimal once the first-best itself can no longer be achieved, since one distortion may partially compensate for another.
Herold, Florian, Netzer, Nick
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PLoS ONE, 2022 Objectives While corticosteroids have been hypothesized to exert protective benefits in patients infected with SARS-CoV-2, data remain mixed. This study sought to investigate the outcomes of methylprednisone administration in an Italian cohort of ...
Lorenzo Porta +6 more
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Journal of Biostatistics and Epidemiology, 2020 Introduction: Missing values are frequently seen in data sets of research studiesespecially in medical studies.Therefore, it is essential that the data, especially in medical research should evaluate in terms of the structure of missingness.This study ...
Freshteh Osmani, Ebrahim Hajizadeh
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