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### The History of Statistics — Stephen M. Stigler Harvard

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Probability and Uncertainty in Economic Modeling Itzhak Gilboa, Andrew W. Postlewaite, and David Schmeidler S ince the early days of probability theory, there has been a distinction

- Modeling of an uncertain parameter depends on the nature of the information available. In this paper we have considered uncertainty quantification of parameters in the case of radiological risk assessment. Radiological Risk means, risk associated with the release of radionuclides when radioactive materials are released into the environment. There are various pathways through which
- In Proceedings of the 18th Conference on Probability and Statistics in the Atmospheric Sciences, AMS Annual Meeting, Seattle, WA. Tebaldi C, Smith RL, Nychka D, Mearns LO., Quantifying uncertainty in Projections of Regional Climate Change: a Bayesian Approach to the Analysis of Multimodel Ensembles, accepted subject to revision, Journal of Climate .
- Modeling of an uncertain parameter depends on the nature of the information available. In this paper we have considered uncertainty quantification of parameters in the case of radiological risk assessment. Radiological Risk means, risk associated with the release of radionuclides when radioactive materials are released into the environment. There are various pathways through which
- Uncertainty propagation is the quantification of uncertainties in system output(s) propagated from uncertain inputs. It focuses on the influence on the outputs from the parametric variability listed in the sources of uncertainty.