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  • Search: subject:"imprecise probabilities"
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Year of publication
Subject
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imprecise probabilities 5 uncertainty 3 Knightian uncertainty 2 ambiguity 2 ambiguous beliefs 2 epistemic uncertainty 2 risk beliefs 2 AIDS 1 Bayes-Statistik 1 Bayesian inference 1 Decision theory 1 Decision under risk 1 Decision under uncertainty 1 Entscheidung unter Risiko 1 Entscheidung unter Unsicherheit 1 Entscheidungstheorie 1 Erwartungsbildung 1 Erwartungsnutzen 1 Expectation formation 1 Expected utility 1 Futures 1 Generalized Bayes rule 1 HIV / AIDS 1 HIV/AIDS 1 Imprecise Dirichlet Model 1 Probability theory 1 Risiko 1 Risk 1 Wahrscheinlichkeitsrechnung 1 futurible 1 fuzzy logic 1 interval probability 1 known marginals 1 known number of categories 1 lower and upper probabilities 1 maximum likelihood update 1 modeling expert opinions 1 multinominal data 1 nonparametric predictive inference 1 possibility 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 5
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 5
Author
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Augustin, Thomas 2 Kerwin, Jason 2 Pandey, Divya 2 Coolen, F. P. A. 1 Ha-Duong, Minh 1 Held, Hermann 1 Kriegler, Elmar 1
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Institution
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HAL 1
Published in...
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Discussion Paper 2 Discussion paper series / IZA 1 IZA Discussion Papers 1 Post-Print / HAL 1
Source
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EconStor 3 ECONIS (ZBW) 1 RePEc 1
Showing 1 - 5 of 5
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Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs
Kerwin, Jason; Pandey, Divya - 2023
their beliefs. We study these "imprecise probabilities", also known as ambiguous beliefs. We show that imprecision is … can map our data onto both a standard Bayesian model and a version that is designed to handle imprecise probabilities …; these models can match some features of our data but not all of them. Imprecise probabilities have important implications …
Persistent link: https://www.econbiz.de/10014469382
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Cover Image
Navigating ambiguity : imprecise probabilities and the updating of disease risk beliefs
Kerwin, Jason; Pandey, Divya - 2023
their beliefs. We study these "imprecise probabilities", also known as ambiguous beliefs. We show that imprecision is … can map our data onto both a standard Bayesian model and a version that is designed to handle imprecise probabilities …; these models can match some features of our data but not all of them. Imprecise probabilities have important implications …
Persistent link: https://www.econbiz.de/10014390526
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Cover Image
A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories
Coolen, F. P. A.; Augustin, Thomas - 2006
Nonparametric Predictive Inference (NPI) is a general methodology to learn from data in the absense of prior knowledge and without adding unjustified assumptions. This paper develops NPI for multinominal data where the total number of possible categories for the data is known. We present the...
Persistent link: https://www.econbiz.de/10010266240
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Cover Image
Bayesian learning for a class of priors with prescribed marginals
Held, Hermann; Kriegler, Elmar; Augustin, Thomas - 2006
updating of imprecise probabilities: a weighted maximum likelihood method and a semi-classical method. The former bases …
Persistent link: https://www.econbiz.de/10010266250
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Scenarios, probability and possible futures
Ha-Duong, Minh - HAL - 2005
This paper provides an introduction to the mathematical theory of possibility, and examines how this tool can contribute to the analysis of far distant futures. The degree of mathematical possibility of a future is a number between O and 1. It quantifies the extend to which a future event is...
Persistent link: https://www.econbiz.de/10008791955
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