Preliminaries: The Maximum Expected Utility Problem
A Maximum Expected Utility Framework for Binary Sequence Labeling
... the expected F-scores of the winning hypothesis computed by the exact algorithm and by the approximate ...computed expected F -scores may be far from their exact values, this does not necessarily af- fect ...
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Expected utility without utility
... decision problem involving ...the problem of representing Nemo’s preferences over lotteries presupposes the existence of a problem of choice among ...
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Combining Expected Utility and Weighted Gini Simpson Index into a Non Expected Utility Device
... non-expected utility methods relative to the type concerning the use of decision weights verifying standard conditions; also, it was shown that function 𝑍𝑍 𝑢𝑢 could be interpreted as a mean value of a ...
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Expected utility for nonstochastic risk
... 5 The problem arises when event’s relative frequency do not tend to a limit (Borel (1956)). In Kolmogorov (1986) we read “Speaking of randomness in the ordinary sense of this word, we mean those phenomena in which ...
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Optimism and Pessimism with Expected Utility
... the utility function, which can then be combined with the expert’s knowledge about the probabilities associated with the choices in the problem at hand in order to make recommen- ...elicited utility ...
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Stochastic expected utility theory
... theory—stochastic expected utility theory (StEUT)—is proposed to describe individual decision making under ...choice problem several ...random utility model ...Bernoulli utility ...
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Are small groups expected utility?
... Having determined the actual reported preferences, we then proceed to the estimation of the parameters using maximum likelihood methods. To do so, we need to specify the distribution of the measurement error, ...
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Directed expected utility networks
... ditional utility independence and generalized additive independence, have more recently started to ...directed expected utility network, whose edges depict both probabilistic and utility ...
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Expected Utility in Models with Chaos
... The paper is organized as follows. In section 2, we discuss some preliminary back- ground from dynamics, direct/inverse limit spaces and natural invariant measures. In section 3 we construct our induced measure on the ...
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A Stochastic Expected Utility Theory
... whose expected utility is close to the utility of the lowest possible outcome significantly above the prediction of StEUT ...This problem is even more severe for ...
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A Theory of Vague Expected Utility
... the Expected Utility (EU) model of decision under risk, many alternative theories have been proposed 1 ...the problem of intransitivity, which has also been extensively documented, starting with ...
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Expected utility for nonstochastic risk
... 5 The problem arises when event’s relative frequency do not tend to a limit ( Borel ( 1956 )). In Kolmogorov ( 1986 ) we read “Speaking of randomness in the ordinary sense of this word, we mean those phenomena in ...
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Robustified expected maximum production frontiers
... of expected maximum production ...unconditional expected maximum output frontiers and their estimators share the desirable property of monotonicity without resorting to the hypothesis of tail ...
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Non-expected utility vs. expected utility theory in consumption/savings decisions over the life cycle
... Dependent Utility Theory is the risk evaluation theory which fits the data ...Non-Expected Utility Theories and intro- duces the corresponding value and probability weighting functions for Rank- ...
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Awareness-Dependent Subjective Expected Utility
... The problem is that in order to run such an experiment also for a space that is unordered to S, we would require a procedure that makes the decision maker unaware of an ...
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Boundedly Rational Expected Utility Theory
... d may vary from one individual to another, reflecting different tastes for the trade-off between more input into the current decision and turning attention to something else. A person with a very low d is someone who ...
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Boundedly rational expected utility theory
... Conf ¼ max 0:5; ½ 1−d k ð −1 Þ ; ð3Þ where k ≥ 2 and where d (with 0 < d ≤ 0.5) is a parameter that captures the rate at which the DM reduces her Conf as k increases, subject to the constraint that Conf ≥ 0.5. d may vary ...
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Expected Utility Theory and Climate Change
... the problem of making a rational choice or making policy under uncertainty is to use expected utility ...the expected utility theory in order to make a rational choice on how to act on ...
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Subjective expected utility with imperfect perception
... Just as the restriction to feasible acts strengthens the appeal of the ordering axiom, the restriction to events in B strengthens the appeal of (Sep) —more specifically, its “backward implication”. To see this, suppose ...
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Subjective expected utility with topological constraints
... The problem is that a conditional preference structure defined over a larger domain of acts may be sensitive to the asymptotic behaviour of these acts in a way which eludes an Alexandroff SEU ...this ...
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