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Judicial and clinical decision-making under uncertainty
Manski, Charles F. - In: Journal of institutional and theoretical economics : JITE 176 (2020) 1, pp. 33-43
Persistent link: https://www.econbiz.de/10012240514
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Rationality and the Bayesian paradigm
Gilboa, Itzhak - In: The journal of economic methodology 22 (2015) 3, pp. 312-334
Persistent link: https://www.econbiz.de/10011386620
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European option pricing under cumulative prospect theory with constant relative sensitivity probability weighting functions
Nardon, Martina; Pianca, Paolo - In: Computational Management Science : CMS 16 (2019) 1/2, pp. 249-274
Persistent link: https://www.econbiz.de/10011993474
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On optimal growth under uncertainty : some examples
Gama-Velázquez, Adriana - In: Trends in mathematical economics : dialogues between …, (pp. 147-161). 2016
Persistent link: https://www.econbiz.de/10011800698
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Using time-varying transition probabilities in Markov switching processes to adjust US fiscal policy for asset prices
Agnello, Luca; Dufrénot, Gilles; Sousa, Ricardo M. - In: Economic modelling 34 (2013), pp. 25-36
Persistent link: https://www.econbiz.de/10010360626
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On transition matrices of Markov chains corresponding to Hamiltonian cycles
Avrachenkov, Konstantin; Eshragh, Ali; Filar, Jerzy A. - In: Optimization models with economic and game theoretic …, (pp. 19-35). 2016
Persistent link: https://www.econbiz.de/10011532973
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Using mixture density functions for modelling of wage distributions
Marek, Lubos; Vrabec, Michal - In: Central European journal of operations research : CEJOR … 24 (2016) 2, pp. 389-405
Persistent link: https://www.econbiz.de/10011666099
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The potential approach in practice
Kluge, Tino; Rogers, Leonard C. G. - In: International journal of theoretical and applied finance 21 (2018) 3, pp. 1-30
Persistent link: https://www.econbiz.de/10011889513
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Modifications of probabilistic models of states evolution for reliability analysis of district heating systems
Postnikov, Ivan; Stennikov, Valery - In: Energy reports 6 (2020) 2, pp. 293-298
dependent between them are developed. The methodology is based on the theory of Markov random processes and the basic laws of … probability theory. The formation principles of developed models are illustrated by the state graphs. Numerical studies were …
Persistent link: https://www.econbiz.de/10012179493
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Comparative analysis of deterministic and probabilistic methods for the integration of distributed generation in power systems
Beltrán, Juan Carlos; Aristizábal, Andrés Julián; … - In: Energy reports 6 (2020) 3, pp. 88-104
In this article, a comparative analysis is made between three statistical methods (Taguchi's Orthogonal Array Testing method, Monte Carlo and Two-Point method) by integrating the uncertainty of primary sources of renewable generation in systems of electric power. The modeling of the Institute of...
Persistent link: https://www.econbiz.de/10012182952