Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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Updated
May 30, 2024 - Julia
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model
A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".
A workflow developed to tackle the challenge of building and analyzing biochemical pathway models, combining pre-existing tools and custom-made software.
A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
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.
SoBioS is an easy-to-run code to compute Sobol' indices for biological systems.
Open access PBPK modelling platform
Global sensitivity analysis for climate/land-use change co-extinctions analysis
VARS-TOOL sensitivity analysis package in Python
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
Uncertainty propagation and global sensitivity analysis for computational economic models
Scripts to perform training of Gaussian Processes Emulators and Global Sensitivity Analysis on models or emulators output.
R code and data required for whaler shark (Carcharhinus brachyurus) harvest model
Tools for efficient global sensitivity analyses for models with correlated input parameters.
Global sensitivity analysis demo
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