K. Hesse and Q. T. Le Gia, “L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data,”10.1016/j.cam.2022.114118__Journal of Computational and Applied Mathematics, vol. 408, Art. no. 114118, 2022, doi:10.1016/j.cam.2022.114118 .

K. Hesse, I. H. Sloan, and R. S. Womersley, “Local RBF-based penalized least-squares approximation on the sphere with noisy scattered data,”10.1016/j.cam.2020.113061__Journal of Computational and Applied Mathematics, vol. 382, Art. no. 113061, 2021, doi:10.1016/j.cam.2020.113061 .

K. Hesse, “RBF-based penalized least-squares approximation of noisy scattered data on the sphere,” in Multivariate Algorithms and Information-Based Complexity, F. J. Hickernell and P. Kritzer, Eds. Berlin/Boston: De Gruyter, 2020, pp. 33–42.

K. Hesse, I. H. Sloan, and R. S. Womersley, “Radial basis function approximation of noisy scattered data on the sphere,”10.1007/s00211-017-0886-6__Numerische Mathematik, vol. 137, no. 3, pp. 579–605, 2017, doi:10.1007/s00211-017-0886-6 .