Chapter 16: Resources and bibliography - Uncertainty Quantification in Inverse Problems with CUQIpy

Following are lists of resources and references for further reading and exploration of CUQIpy and related topics.

1. Resources¶

CUQIpy documentation
CUQIpy GitHub repository
Paper: CUQIpy: I. Computational uncertainty quantification for inverse problems in Python Riis et al. (2024) (GitHub repository for the paper)
Paper: CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python Alghamdi et al. (2024) (GitHub repository for the paper)
User showcase repository for CUQIpy

References¶

Riis, N. A. B., Alghamdi, A. M. A., Uribe, F., Christensen, S. L., Afkham, B. M., Hansen, P. C., & Jørgensen, J. S. (2024). CUQIpy: I. Computational uncertainty quantification for inverse problems in Python. Inverse Problems, 40(4), 045009. 10.1088/1361-6420/ad22e7
Alghamdi, A. M. A., Riis, N. A. B., Afkham, B. M., Uribe, F., Christensen, S. L., Hansen, P. C., & Jørgensen, J. S. (2024). CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python. Inverse Problems, 40(4), 045010. 10.1088/1361-6420/ad22e8