In economics and psychology, a random utility model,[1][2] also called stochastic utility model,[3] is a mathematical description of the preferences of a person, whose choices are not deterministic, but depend on a random state variable.
^Manski, Charles F. (July 1977). "The structure of random utility models". Theory and Decision. 8 (3): 229–254. doi:10.1007/BF00133443. S2CID 120718598. ProQuest 1303217712.
^Cascetta, Ennio (2009). "Random Utility Theory". Transportation Systems Analysis. Springer Optimization and Its Applications. Vol. 29. pp. 89–167. doi:10.1007/978-0-387-75857-2_3. ISBN 978-0-387-75856-5.
^Manski, Charles F. (August 1975). "Maximum score estimation of the stochastic utility model of choice". Journal of Econometrics. 3 (3): 205–228. doi:10.1016/0304-4076(75)90032-9.
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In economics and psychology, a randomutilitymodel, also called stochastic utilitymodel, is a mathematical description of the preferences of a person...
It has been shown that a mixed logit model can approximate to any degree of accuracy any true randomutilitymodel of discrete choice, given appropriate...
choice modelling can be traced to Thurstone's research into food preferences in the 1920s and to randomutility theory. In economics, randomutility theory...
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In video game AI, a utility system, or utility AI, is a simple but effective way to model behaviors for non-player characters. Using numbers, formulas...
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convenient to model mathematically and to obtain empirical predictions from. It refers specifically to a property of von Neumann–Morgenstern utility functions...
In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only...
interpreted as natural deterioration of health over time. In the model, health enters the utility function directly as a good people derive pleasure from and...
cardinal utility function or scale is a utility index that preserves preference orderings uniquely up to positive affine transformations. Two utility indices...
maximizes voter utility. A method that chooses a winner randomly would have efficiency of 0%, and a (pathological) method that did worse than a random pick would...
generated by 'simple' random sampling. The family of generalized linear models is a widely used and flexible class of parametric models. Nonparametric...
example in the study of statistical properties of graphs, a null model is a type of random object that matches one specific object in some of its features...
x and a random term ϵ {\displaystyle \epsilon } : c = c(x) + ϵ {\displaystyle \epsilon } . Then under exponential utility, expected utility is given...
choice models, direct demand models (DDM), RandomUtilityModels (RUM) or, in its most used form, the multinomial logit model (MNL). Choice models have...
Stephen A. (March 1990). "A concept of stochastic transitivity for the randomutilitymodel". Journal of Mathematical Psychology. 34 (1): 95–108. doi:10...
possible outcomes for an experiment. It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events...
dell’Olio, Luigi; Ibeas, Angel (2014-02-01). "A discrete choice model based on randomutilities for exit choice in emergency evacuations". Safety Science....
hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is...
513–548 Colombino, U. (2010). Equilibrium policy simulations with randomutilitymodels of labour supply, Carlo Alberto Notebooks 156, Collegio Carlo Alberto...
index Random assignment Random compact set Random data – see randomnessRandom effects estimation – see Random effects modelRandom effects modelRandom element...
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