Modeling sensitivity analysis techniques using MATLAB
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Updated
Oct 17, 2019 - MATLAB
Modeling sensitivity analysis techniques using MATLAB
Global sensitivity analysis demo
Tools for efficient global sensitivity analyses for models with correlated input parameters.
R code and data required for whaler shark (Carcharhinus brachyurus) harvest model
Scripts to perform training of Gaussian Processes Emulators and Global Sensitivity Analysis on models or emulators output.
Uncertainty propagation and global sensitivity analysis for computational economic models
Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA
VARS-TOOL sensitivity analysis package in Python
Global sensitivity analysis for climate/land-use change co-extinctions analysis
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 source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
A source code for the paper titled "Trajectory-based Global Sensitivity Analysis in Multiscale Models".
snakemake workflow for performing a global sensitivity analysis of an OSeMOSYS model
SoBioS is an easy-to-run Matlab code to compute Sobol' indices for biological systems.
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Open access PBPK modelling platform
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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