Comparing with the Original Ambiguity Model
Comparing tolerance of ambiguity in veterinary and medical students
... of ambiguity throughout either undergraduate programme that effects one population more than the other, for example due to exposure to different education environments, then a smaller sample size in the later ...
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A Unilateral Accident Model Under Ambiguity
... accident model under ...accident model to allow for ambiguity by assuming the injurer is a Choquet expected utility maximizer and representing the injurer’s beliefs about accident risk with a special ...
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A Smooth Ambiguity Model of the Competitive Firm
... A vivid description of the Ellsberg’s (1961) paradox is from Keynes (1921). Consider the following experiment with two urns, K and U. Urn K contains 50 red balls and 50 blue balls. Urn U contains 100 balls (all balls are ...
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Eliciting ambiguity aversion in unknown and in compound lotteries: A smooth ambiguity model experimental study.
... toward ambiguity as deter- mined within ...reference model for the tasks proposed in our ...the ambiguity attitude, i.e., which one of the three ambiguity attitudes (aversion, neutrality, or ...
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A smooth model of decision making under ambiguity.
... which underscores the more modest scope of our analysis, compared to Nau’s, is that in our framework the only departure from SEU is ambiguity aversion/preference, whereas in Nau’s framework departure from SEU can ...
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An Experimental Test of a Search Model under Ambiguity
... The subject can continue to search in this manner until the 20th round, and if the subject rejects a point drawn in the last round, the search activity is automatically terminated, and no point is obtained. Points are ...
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Robust asset allocation under model ambiguity
... and especially in the multi-dimensional case; or, when a number of constraints are added to portfolio allocation. It is important to note that in their paper, Klibanoff et al. (2005) only provide a simple numerical ...
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Optimal portfolio problems under model ambiguity
... of ambiguity In this thesis, we take the perspective of an ambiguity averse agent who wishes to hedge a contingent claim in a market driven by a Brownian motion and a doubly stochastic Poisson random ...
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Perceived Ambiguity, Ambiguity Attitude and Strategic Ambiguity in Games
... for ambiguity aversion and provides axiomatic characterizations for important preference classes that thus far had lacked ...perceived ambiguity in the multiple prior ...the model from the previous ...
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Unsupervised Name Ambiguity Resolution Using A Generative Model
... 1 Introduction Recently, ambiguity resolution for names found on the Web (Artiles et al., 2007), Wikipedia articles (Bunescu and Pasca, 2006), news texts (Pedersen et al., 2005) and medical literature (Ginter et ...
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Aversion to ambiguity and model misspecification in dynamic stochastic environments
... risk, ambiguity, and the potential for misspecification of subjective probabilities in a sequence of simple recursive learn- ing ...smooth ambiguity specification from ...to ambiguity and ...
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Segmentation Comparing Eggs Watermarking Image and Original Image
... of original image with the image that is subjected to the watermark in the segmentation process for identifying eggs and counting the number of eggs detected image processing using image data subjected to the ...
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An Equilibrium Asset Pricing Model under the Dual Theory of the Smooth Ambiguity Model
... smooth ambiguity model by [6], ambiguity preference is embedded in the expected utility representation with a distorted ...words, ambiguity preference does not explicitly appear for most of ...
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An Empirical Model of Learning under Ambiguity: The Case of Clinical Trials
... learning model proposed in this paper can capture slow ...traditional model of Bayesian learning where each signal is equally weighted by construction forces the …rst signal to have the largest marginal ...
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Model Uncertainty, Ambiguity and the Precautionary Principle: Implications for Biodiversity Management
... 3 Safety Standards and Biodiversity Management: A Non- optimizing Approach Economists usually try to manage ecosystems and biodiversity in an optimal way despite the fact that the complexity of ecosystems might make ...
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Innovation and stock market performance : A model with ambiguity-averse agents
... A model with ambiguity-averse agents Daniela Grieco* Empirical evidence on stock prices shows that firms investing successfully in radical innovation experience higher stock ...a model that sheds ...
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An Empirical Model of Learning under Ambiguity: The Case of Clinical Trials
... learning model proposed in this paper can capture slow ...traditional model of Bayesian learning where each signal is equally weighted by construction forces the …rst signal to have the largest marginal ...
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Repetition and cooperation: A model of finitely repeated games with objective ambiguity
... objective ambiguity Ghislain ...a model of finitely repeated games in which players can strategically make use of objective ...of ambiguity can be enough to approximate collusive payoffs via subgame ...
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A Model for Comparing Free Cloud Platforms
... comparison model of free licensed cloud platforms be- cause the choice of a good platform leads to: great flexibility – it is able to optimize the IT infrastructure costs of a company; security - data in the cloud ...
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Comparing the Intercept Mixture Model with the Slack-Variable Mixture Model
... intercept model we showed that the intercept model can be used to reduce the ill- conditioning ...intercept model, that is, the choose of which compo- nent should be replaced for a constant term, ...
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