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 II (SoSe2023, SoSe2024)

  • Grundlagen Bayesianischer Statistik und Statistisches Lernen (WiSe2024/2025)

  • Praktikum Statistische Modellierung (SoSe2024, SoSe2025)


  • 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











CONFERENCE CONTRIBUTIONS



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

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

  • CompStat 2024 Spatial Confounding in Gradient Boosting (Talks)

  • IWSM 2024 Spatial Confounding in Gradient Boosting (Talks)

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

  • 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