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      Comprehensive Uncertainty Quantification in Nuclear Safeguards

      , , , ,
      Science and Technology of Nuclear Installations
      Hindawi Limited

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          Abstract

          Nuclear safeguards aim to confirm that nuclear materials and activities are used for peaceful purposes. To ensure that States are honoring their safeguards obligations, quantitative conclusions regarding nuclear material inventories and transfers are needed. Statistical analyses used to support these conclusions require uncertainty quantification (UQ), usually by estimating the relative standard deviation (RSD) in random and systematic errors associated with each measurement method. This paper has two main components. First, it reviews why UQ is needed in nuclear safeguards and examines recent efforts to improve both top-down (empirical) UQ and bottom-up (first-principles) UQ for calibration data. Second, simulation is used to evaluate the impact of uncertainty in measurement error RSDs on estimated nuclear material loss detection probabilities in sequences of measured material balances.

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          Most cited references28

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          Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

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            An approach to the probability distribution of cusum run length

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              Approximately sufficient statistics and bayesian computation.

              The analysis of high-dimensional data sets is often forced to rely upon well-chosen summary statistics. A systematic approach to choosing such statistics, which is based upon a sound theoretical framework, is currently lacking. In this paper we develop a sequential scheme for scoring statistics according to whether their inclusion in the analysis will substantially improve the quality of inference. Our method can be applied to high-dimensional data sets for which exact likelihood equations are not possible. We illustrate the potential of our approach with a series of examples drawn from genetics. In summary, in a context in which well-chosen summary statistics are of high importance, we attempt to put the 'well' into 'chosen.'

                Author and article information

                Journal
                Science and Technology of Nuclear Installations
                Science and Technology of Nuclear Installations
                Hindawi Limited
                1687-6075
                1687-6083
                2017
                2017
                : 2017
                :
                : 1-16
                Article
                10.1155/2017/2679243
                df8ea7f1-f93d-454c-9a82-1e2526fe832d
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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