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Abstract

This paper describe an application of a transductive method for risk mapping which allows to compute the confidence interval of an estimation, without any assumption on data distribution, except identity and independancy of inputs. The method is compared to conditionnal Sequential Gaussian Simulation. The data set used is a digital elevation model of Switzerland.

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