Confidence Evaluation for Risk Prediction

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.


Published in:
2001 Annual Conference of the IAMG
Presented at:
2001 Annual Conference of the IAMG
Year:
2001
Keywords:
Note:
IDIAP-RR 01-22
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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