Preprints
- N. Derevianko and G. Plonka. Differential approximation of the Gaussian by short cosine sums with exponential error decay, preprint 2023.
- A. González-Sanz, M. Groppe, and A. Munk. Nonlinear Inverse Optimal Transport: Identifiability of the Transport Cost from its Marginals and Optimal Values, preprint 2023.
- A. González-Sanz and S. Hundrieser. Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs, preprint 2023.
- M. Groppe and S. Hundrieser. Lower Complexity Adaptation for Empirical Entropic Optimal Transport, preprint 2023.
- S. Hundrieser, B. Eltzner, and S. Huckemann. Finite Sample Smeariness of Fréchet Means and Application to Climate, preprint 2020.
- S. Hundrieser, B. Eltzner, and S. Huckemann. A Lower Bound for Estimating Fréchet Means, preprint 2024.
- S. Hundrieser, G. Mordant, C. Weitkamp, and A. Munk. Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications, preprint 2023.
- L. Lammers, D. Tran Van, and S. Huckemann. Sticky Flavors, preprint 2023.
- L. Lammers, D. Tran Van, T.M.W. Nye and S. Huckemann. Types of Stickiness in BHV Phylogenetic Tree Spaces and Their Degree, preprint 2023.
- J. Lueg, M.K. Garba, T.M.W. Nye and S. Huckemann. Foundations of the Wald Space for Phylogenetic Trees, preprint 2022.
- R. Müller, D. Schuhmacher, and J. Mateu. ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns, preprint 2022.
- T. G. Nies, T. Staudt, and A. Munk. Transport Dependency: Optimal Transport Based Dependency Measures, preprint 2021.
- D. Schuhmacher and L. Wirth. Assignment Based Metrics for Attributed Graphs, preprint 2023.
- T. Staudt and S. Hundrieser. Convergence of Empirical Optimal Transport in Unbounded Settings, preprint 2023.
- T. Staudt, S. Hundrieser, and A. Munk. On the Uniqueness of Kantorovich Potentials, preprint 2022.
- A. Sturm and M. Wemheuer. A Central Limit Theorem for Functions on Weighted Sparse Inhomogeneous Random Graphs, preprint 2024.
- L. Suchan, H. Li and A. Munk. A scalable clustering algorithm to approximate graph cuts, preprint 2023.
- S. Ulmer, D. Tran Van, and S. Huckemann. Exploring Uniform Finite Sample Stickiness, preprint 2023.
- L. J. Vanegas, B. Eltzner, D. Rudolf, M. Dura, E. Lehnart, and A. Munk. Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications, preprint 2021.