Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Advisor "Schuhmacher, Dominic Prof. Dr."

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Now showing items 1-6 of 6

    • Graph Neural Networks for Spatial Data Analysis: Theoretical Results and Applications 

      Abemgnigni Njifon, Marianne (2025-12-02)
      Overall, this thesis explores the advantages and challenges of spatial data prediction tasks with Graph Neural Networks (GNN). Kriging, the best linear unbiased predictor presents a great number of advantages over other ...

    • Spatial Random Graphs: Studying dependence structures in spatial data 

      Wirth, Leoni Carla (2025-10-02)
      Spatial random graphs provide a powerful framework for analyzing the relations and interactions governed by an underlying spatial structure. Such graphs can be used not only to model and analyze observed networks, but also ...

    • Barycenters and ANOVA for Point Pattern Data 

      Müller, Raoul (2022-05-10)
      In this thesis a new metric for point patterns is developed. A heuristic algorithm is presented, that computes barycenters with respect to the new metric. The barycenters are then used in ANOVA procedures, to assess the ...

    • Regularized Rao-Blackwellization 

      Höllwarth, Henning (2021-06-15)
      In statistics, Rao-Blackwellization is a well-known technique to improve estimators by removing ancillary information which does not help toward making inference on the parameter of interest. The present thesis reveals ...

    • Algorithms for Optimal Transport and Wasserstein Distances 

      Schrieber, Jörn (2019-02-28)
      Optimal Transport and Wasserstein Distance are closely related terms that do not only have a long history in the mathematical literature, but also have seen a resurgence in recent years, particularly in the context of ...

    • Convergence Rates in Dynamic Network Models 

      Kück, Fabian (2018-02-23)
      The stochastic network model by Britton and Lindholm (Journal of Statistical Physics 3, 2010) describes a class of reasonably realistic dynamics for a complex system with an underlying network structure. In a closed social ...