Chapter 8: More resources

• CUQIpy documentation

• CUQIpy GitHub repository

• Paper: CUQIpy: I. Computational uncertainty quantification for inverse problems in Python [RAU+24] (GitHub repository for the paper)

• Paper: CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python [ARA+24] (GitHub repository for the paper)

• User showcase repository for CUQIpy

Bibliography

[ARA+24]

Amal M A Alghamdi, Nicolai A B Riis, Babak M Afkham, Felipe Uribe, Silja L Christensen, Per Christian Hansen, and Jakob S Jørgensen. Cuqipy: ii. computational uncertainty quantification for pde-based inverse problems in python. Inverse Problems, 40(4):045010, mar 2024. URL: https://dx.doi.org/10.1088/1361-6420/ad22e8, doi:10.1088/1361-6420/ad22e8.

[RAU+24]

Nicolai A B Riis, Amal M A Alghamdi, Felipe Uribe, Silja L Christensen, Babak M Afkham, Per Christian Hansen, and Jakob S Jørgensen. Cuqipy: i. computational uncertainty quantification for inverse problems in python. Inverse Problems, 40(4):045009, mar 2024. URL: https://dx.doi.org/10.1088/1361-6420/ad22e7, doi:10.1088/1361-6420/ad22e7.

[Siden20]

Per Sidén. Scalable Bayesian spatial analysis with Gaussian Markov random fields. Volume 790. Linköping University Electronic Press, 2020.