Coupled Input-Output Dimension Reduction: Application to goal-oriented Bayesian experimental design and global sensitivity analysis

This repository containes the code to reproduce the numerical experiments in "Coupled Input-Output Dimension Reduction: Application to goal-oriented Bayesian experimental design and global sensitivity analysis (2024)" by Q. Chen, R.S. Baptista, E. Arnaud, O. Zahm.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
bayes		bayes
models		models
README.md		README.md
advdiff_seeds.npy		advdiff_seeds.npy
dr.py		dr.py
eig_estimation.py		eig_estimation.py
error_estimation.py		error_estimation.py
goals_setup.py		goals_setup.py
mystyle.mplstyle		mystyle.mplstyle
plotting.py		plotting.py
run_conv.py		run_conv.py
run_eig.py		run_eig.py
run_sobol.py		run_sobol.py
run_sr.py		run_sr.py
sensor_placement.py		sensor_placement.py
utils.py		utils.py

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Coupled Input-Output Dimension Reduction: Application to goal-oriented Bayesian experimental design and global sensitivity analysis

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