Korte, J., Brockmann, J. M., & Schuh, W.-D. (2023). A Comparison between Successive Estimate of TVAR(1) and TVAR(2) and the Estimate of a TVAR(3) Process. Engineering Proceedings, 39(1), Article 1. https://doi.org/10.3390/engproc2023039090

Korte, J., Schubert, T., Brockmann, J. M., & Schuh, W.-D. (2023). On the Estimation of Time Varying AR Processes. In J. T. Freymueller & L. Sánchez (Eds.), X Hotine-Marussi Symposium on Mathematical Geodesy (pp. 113–118). Springer International Publishing. https://doi.org/10.1007/1345_2023_188

Schuh, W.-D., Korte, J., Schubert, T., & Brockmann, J. M. (2023). Modeling of Inhomogeneous Spatio-Temporal Signals by Least Squares Collocation. In J. T. Freymueller & L. Sánchez (Eds.), X Hotine-Marussi Symposium on Mathematical Geodesy (pp. 149–158). Springer International Publishing. https://doi.org/10.1007/1345_2023_202

Korte, J., Schubert, T., Brockmann, J. M., & Schuh, W.-D. (2021). A Mathematical Investigation of a Continuous Covariance Function Fitting with Discrete Covariances of an AR Process. Engineering Proceedings, 5(1), Article 1. https://doi.org/10.3390/engproc2021005018

Schubert, T., Brockmann, J. M., Korte, J., & Schuh, W.-D. (2021). On the Family of Covariance Functions Based on ARMA Models. Engineering Proceedings, 5(1), 37. https://doi.org/10.3390/engproc2021005037

Kargoll, B., Kermarrec, G., Korte, J., & Alkhatib, H. (2020). Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors. Journal of Geodesy, 94(5), 51. https://doi.org/10.1007/s00190-020-01376-6

Schubert, T., Korte, J., Brockmann, J. M., & Schuh, W.-D. (2020). A Generic Approach to Covariance Function Estimation Using ARMA-Models. Mathematics, 8(4), 591. https://doi.org/10.3390/math8040591

Schuh, W.-D., & Korte, J. (2017). Über die Genauigkeit von Schätzern für den Skalenparameter der Verteilungsfunktion. Allgemeine Vermessungs-Nachrichten (AVN), 6, 186–196. http://skylab.itg.uni-bonn.de/schuh/Separata/schuh-korte_17.pdf