Resources and extra documentation for the manuscript "A Global Sensitivity-based Identification of Key Factors on Stability of Power Grid with Multi-outfeed HVDC" published in IEEE Latin America Transactions.
A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus
Global sensitivity analysis for climate/land-use change co-extinctions analysis
A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
Scripts to perform training of Gaussian Processes Emulators and Global Sensitivity Analysis on models or emulators output.
Tools for efficient global sensitivity analyses for models with correlated input parameters.
Modeling sensitivity analysis techniques using MATLAB
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
R code and data required for whaler shark (Carcharhinus brachyurus) harvest model
Global sensitivity analysis demo
SoBioS is an easy-to-run Matlab code to compute Sobol' indices for biological systems.
Open access PBPK modelling platform
snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model
VARS-TOOL sensitivity analysis package in Python
Uncertainty propagation and global sensitivity analysis for computational economic models
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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