Title: Evaluation of MARS modeling technique for sensitivity analysis of model output
Authors: SHAHSAVANI DavoodTARANTOLA StefanoRATTO Marco
Citation: Procedia - Social and Behavioural Sciences vol. 2 no. 6 p. 7737-7738
Publisher: Elsevier
Publication Year: 2010
JRC Publication N°: JRC62993
ISSN: 1877-0428
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC62993
DOI: 10.1016/j.sbspro.2010.05.204
Type: Contributions to Conferences
Abstract: Sensitivity analysis of computer models can typically require a large number of model runs. When these models are computationally expensive to run, it may be advantageous to invest in computationally cheaper surrogate models (emulators or meta-models) that can provide almost the same output as the original model and estimate the sensitivity indices for each input. In this abstract the MARS method is used to mimic the behavior of a nonlinear and non-additive test function. The results show that, overall, MARS provides acceptable estimates of total sensitivity indices at a much lower cost than using only runs of the original model.
JRC Institute:Institute for the Protection and Security of the Citizen

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