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This paper is devoted to some recent developments in uncertainty analysis methods of computer codes used for accident management procedures in nuclear industry. A quick overview on classical probabilistic methods for uncertainty methodology is first given. It turns out that despite its attractiveness relying on a simple implementation and convenient(More)
Since the Fukushima accident, Japanese scientists have been intensively monitoring ambient radiations in the highly contaminated territories situated within 80 km of the nuclear site. The surveys that were conducted through mainly carborne, airborne and in situ gamma-ray measurement devices, enabled to efficiently characterize the spatial distribution and(More)
This work is devoted to the construction of new kriging-based interpolating position-dependent subdivision schemes for data reconstruction. Their originality stands in the coupling of the underlying multi-scale framework associated to subdivision schemes with kriging theory. Thanks to an efficient stencil selection, they allow to cope the problem of(More)
Statistical approaches such as Kriging methods ([3]) are of common use for data reconstruction. Their main advantages stand in an accurate interpolating prediction exploiting the correlation structure exhibited by the available data and the possibility to quantify the precision of a prediction thanks to the underlying probabilistic model. However, these(More)