References

Finkbeiner, D. P., Speagle, J. S., & Karim, T. (2025). Data-Driven Stellar Spectral Modelling with GSPICE. arXiv E-Prints. https://arxiv.org/abs/2511.16754

Hanuschik, R. W. (2003). A flux-calibrated, high-resolution atlas of optical sky emission from UVES. Astronomy & Astrophysics, 407, 1157–1164. https://doi.org/10.1051/0004-6361:20030885

Higham, N. J. (2002). Accuracy and Stability of Numerical Algorithms (2nd ed.). https://doi.org/10.1137/1.9780898718027

Husser, T.-O., Wende-von Berg, S., Dreizler, S., Homeier, D., Reiners, A., Barman, T., & Hauschildt, P. H. (2013). A new extensive library of PHOENIX stellar atmospheres and synthetic spectra. Astronomy & Astrophysics, 553, A6. https://doi.org/10.1051/0004-6361/201219058

Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian Processes for Machine Learning. MIT Press. https://gaussianprocess.org/gpml/

Woodbury, M. A. (1950). Inverting Modified Matrices (Memorandum Report No. 42). Statistical Research Group, Princeton University.