Random Expected Utility

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Monotone Stochastic Choice Models: The Case of Risk and Time Preferences (2015, unknown): “Now, given the ranking of the individuals provided by this method, Table 2 reports the estimates for the z% more risk averse individuals, where z ∈ {50, 45, 40, 35, 30, 25, 20}.(25) First, we see that the risk averse estimates for both RUMs and RPMs are increasing, suggesting the appropriateness of ”
Stochastic Utility Theorem (2008, background): “random utility model (recently axiomatized by Gul and Pesendorfer, 2006 ) or individuals”
Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates. (2012, background): “In such models, the value associated with any particular outcome is not a fixed quantity: Each time the decision maker retrieves a value for an outcome, the result is drawn from a probability distribution (see Gul & Pesendorfer, 2006; Manski, 1977).”
Stochastically more risk averse: A contextual theory of stochastic discrete choice under risk (2011, background): “14 The random preference model also appears in both contemporary experimental and theoretical work on stochastic discrete choice under risk (Loomes and Sugden 1995, 1998; Carbone 1997; Loomes, Moffatt and Sugden 2002; Gul and Pesendorfer 2006).”