Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Open access PBPK modelling platform
A Python library providing parameter screening of computational models using the extension of Morris' method of Elementary Effects called Efficient or Sequential Elementary Effects by Cuntz, Mai et al. (Water Res Research, 2015).
This is the code for the ACS algorithm in the paper "Generating and Validating Cluster Sampling Matrices for Model-free Factor Screening".
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
Использование метода Монте-Карло и метода Морриса для анализа качества настройки нейронной сети по распознаванию аварий на АЭС типа ВВЭР
This repository contains an implementation of the Morris screening method for global sensitivity analysis, based on the work by Morris (1991) and Campolongo and Saltelli (1997). The method is used to identify the most influential input parameters in a model by generating elementary effects.
The New Morris Method was proposed by Campolongo and Braddock [Reliab. Engng Syst. Saf. 64 (1999) 1] as an extension of the Morris Method [Technometrics 33 (1991) 161] to include estimation of two-factor interaction effects.
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