Chair of Spatial Data Science and Statistical Learning

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 (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