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Bibliographies thématiques / Risk and uncertainty theory

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Littérature scientifique sur le sujet « Risk and uncertainty theory »

Auteur : Grafiati

Publié le 25 janvier 2025

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Thèses sur le sujet "Risk and uncertainty theory"

1

Martinez-Correa, Jimmy. "Decisions under Risk, Uncertainty and Ambiguity: Theory and Experiments." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/rmi_diss/29.

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I combine theory, experiments and econometrics to undertake the task of disentangling the subtleties and implications of the distinction between risk, uncertainty and ambiguity. One general conclusion is that the elements of this methodological trilogy are not equally advanced. For example, new experimental tools must be developed to adequately test the predictions of theory. My dissertation is an example of this dynamic between theoretical and applied economics.

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Walker, Kenneth C. "Rhetorics of Uncertainty: Networked Deliberations in Climate Risk." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556604.

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This dissertation applies a mixed-methods model across three cases of climate risk in order to examine the rhetorical dynamics of uncertainties. I argue that a rhetorical approach to uncertainties can effectively scaffold civic agency in risk communication by translating conflicting interests and creating sites of public participation. By tracing the networks of scientists and their artifacts through cases of climate risk, I demonstrate how the performances of scientific ethos and their material-discursive technologies facilitate the personalization of risk as a form of scientific prudence, an

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PANK, ROULUND Rasmus. "Essays in empirical economics." Doctoral thesis, European University Institute, 2019. http://hdl.handle.net/1814/62944.

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Defence date: 20 May 2019<br>Examining Board: Prof. Jerome Adda (Supervisor); Prof. Piero Gottardi,University of Essex; Prof. Rosemarie Nagel, Universitat Pompeu Fabra; Prof. Glenn W. Harrison, Georgia State University<br>This first chapter is co-authored with Nicolás Aragón and examines how participant and market confidence affect the outcomes in an experimental asset market where the fundamental value is known by all participants. Such a market should, in theory, clear at the expected value in each period. However, the literature has shown that bubbles often occur in these markets. We m

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Li, Kehan. "Stress, uncertainty and multimodality of risk measures." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E068.

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Dans cette thèse, nous discutons du stress, de l'incertitude et de la multimodalité des mesures de risque en accordant une attention particulière à deux parties. Les résultats ont une influence directe sur le calcul du capital économique et réglementaire des banques. Tout d'abord, nous fournissons une nouvelle mesure de risque - la VaR du stress du spectre (SSVaR) - pour quantifier et intégrer l'incertitude de la valeur à risque. C'est un modèle de mise en œuvre de la VaR stressée proposée par Bâle III. La SSVaR est basée sur l'intervalle de confiance de la VaR. Nous étudions la distribution a

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Raykov, Radoslav S. "Essays in Applied Microeconomic Theory." Thesis, Boston College, 2012. http://hdl.handle.net/2345/bc-ir:104087.

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Thesis advisor: Utku Unver<br>This dissertation consists of three essays in microeconomic theory: two focusing on insurance theory and one on matching theory. The first chapter is concerned with catastrophe insurance. Motivated by the aftermath of hurricane Katrina, it studies a strategic model of catastrophe insurance in which consumers know that they may not get reimbursed if too many other people file claims at the same time. The model predicts that the demand for catastrophe insurance can ``bend backwards'' to zero, resulting in multiple equilibria and especially in market failure, which i

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Kentel, Elçin. "Uncertainty Modeling Health Risk Assessment and Groundwater Resources Management." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11584.

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Real-world problems especially the ones that involve natural systems are complex and they are composed of many non-deterministic components. Uncertainties associated with these non-deterministic components may originate from randomness or from imprecision due to lack of information. Until recently, uncertainty, regardless of its nature or source has been treated by probability concepts. However, uncertainties associated with real-world systems are not limited to randomness. Imprecise, vague or incomplete information may better be represented by other mathematical tools, such as fuzzy set theor

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Zargar, Yaghoobi Amin H. "Handling uncertainty in hydrologic analysis and drought risk assessment using Dempster-Shafer theory." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43814.

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The aim of this thesis is to enhance some of the hydrologic analyses involved in drought risk assessment (DRA) to uncertainty-driven analyses therefore improving the accuracy and informativeness of DRA. In DRA, risk, or the expected loss from drought hazard is estimated by integrating the magnitude of hazard (i.e., drought severity) with vulnerability (i.e., susceptibility to losses from drought). Most hydrologic analyses including DRA are traditionally performed in a deterministic setting, ignoring data quality and uncertainty issues. Uncertainty can affect the accuracy of modeling results an

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Niculescu, Mihai. "Towards a Unified Treatment of Risk and Uncertainty in Choice Research." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1249493228.

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Zhao, Mingjun. "Essays on model uncertainty in macroeconomics." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153244452.

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Garcia, Thomas. "A behavioral approach of decision making under risk and uncertainty." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132313/1/Thomas%20Jean-Christophe%20Lucien_Garcia_Thesis.pdf.

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This thesis investigates how individuals make decisions under risk and uncertainty. It is composed of four essays that theoretically and experimentally investigate decision-making. First, I study situations where individuals must decide whether an event has occurred using uncertain evidence. I highlight that individuals tend to maximize accuracy instead of maximizing expected payoffs. I find that it is partially due to the existence of a value of being right and a recency bias. Second, I study how ambiguity on the costs or the benefits of a donation affects donation behavior. I show that indiv

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