LARS KNIEPER




As part of the Data Science Hub, I contributed to the creation of our webapp collection.









RESEARCH INTERESTS



  • Statistical Boosting

  • Generalised Geo-Additive Mixed Models










TEACHING



  • Advanced Statistical Inference (Likelihood and Bayes) (WiSe2023/2024)

  • Data Science: Statistik (SoSe2023, SoSe2024, SoSe2026)

  • Multivariate Statistics (SoSe2026)

  • Grundlagen Bayesianischer Statistik und Statistisches Lernen (WiSe2024/2025, WiSe2025/2026, WiSe2026/2027)

  • Introduction to Statistical Programming (WiSe2026/2027)

  • Praktikum Statistische Modellierung (SoSe2024, SoSe2025, SoSe2026)


  • For theses, a personal meeting is recommended, where also topics outside of the theses offered here are possible.











SOFTWARE



  • mermboost - A novel gradient boosting framework for mixed models. [R pacakge via CRAN]










PUBLICATIONS



  1. Knieper, L., Müller-Voggel, N., Hepp, T., von Plessen, A., & Bergherr, E. (2026). A unified framework for spatially resolved cortical activation analysis. arXiv


  2. Gluesing, L., Potts, S., Knieper, L., Giganti, F., Tsaur, I., Gassenmaier, S., ... & Uhlig, J. (2026). MRI-derived prostate volume assessment: manual segmentation versus two-axis ellipsoid approximation and its implications for PSA density. European Radiology, 1-12. DOI



  3. Knieper, L., Miller, H., & Bergherr, E. (2025). Spatially aware gradient boosting towards sparser models. In: Proceedings of the 39th International Workshop on Statistical Modelling (IWSM). Limerick, Ireland.



  4. Knieper, L., Hothorn, T., Bergherr, E., & Griesbach, C. (2025). Gradient boosting for generalised additive mixed models. Statistics and Computing, 35(4), 84. DOI



  5. Knieper, L., Kneib, T., & Bergherr, E. (2024). Spatial confounding in gradient boosting. In J. Einbeck, H. Maeng, E. Ogundimu, & K. Perrakis (Eds.), Developments in statistical modelling (pp. 223–234). Contributions to Statistics. Springer. DOI













CONFERENCE CONTRIBUTIONS



  • IWSM 2026 Selective Function-on-Surface Regression for Cortical Neuroimaging via Gradient Boosting (Talk)

  • IWSM 2025 Spatially aware gradient boosting towards sparser models (Talk)

  • DAGStat 2025 Re-thinking spatial components in gradient boosting (Talk)

  • CompStat 2024 Spatial Confounding in Gradient Boosting (Talk)

  • IWSM 2024 Spatial Confounding in Gradient Boosting (Talk)

  • CMStatistics 2023 A novel gradient boosting framework for generalised additive mixed models (Talk)

  • IWSM 2023 A novel gradient boosting framework for generalised additive mixed models (Poster)

  • Statistical Computing 2022 Gradient boosting for linear mixed effects logit models












Picture by Lars Knieper. He is wearing a black jacket.



Contact


Chair of Spatial Data Science and Statistical Learning

Prof. Dr. Elisabeth Bergherr



Platz der Göttinger Sieben 3

(Oeconomicum)

1 OG , Room 1.154

37073 Göttingen




Tel. +49 (0)551/3921109

lars.knieper@uni-goettingen.de



Office hours:

On Request