Author Munk, Axel

1 to 10 of 10 Items
  • 2018 Conference Paper
    ​ ​COMPUTATIONAL STRATEGIES FOR STATISTICAL INFERENCE BASED ON EMPIRICAL OPTIMAL TRANSPORT​
    Tameling, C. & Munk, A.​ (2018)
    pp. 175​-179. ​2018 IEEE Data Science Workshop (DSW)​, Lausanne.
    IEEE. DOI: https://doi.org/10.1109/DSW.2018.8439912 
    Details  DOI 
  • 2022 Journal Article
    ​ ​Distribution of Distances based Object Matching: Asymptotic Inference​
    Weitkamp, C. A.; Proksch, K.; Tameling, C. & Munk, A.​ (2022) 
    Journal of the American Statistical Association, pp. 1​-14​.​ DOI: https://doi.org/10.1080/01621459.2022.2127360 
    Details  DOI 
  • 2022 Journal Article | 
    ​ ​Kantorovich–Rubinstein Distance and Barycenter for Finitely Supported Measures: Foundations and Algorithms​
    Heinemann, F.; Klatt, M. & Munk, A.​ (2022) 
    Applied Mathematics & Optimization87(1).​ DOI: https://doi.org/10.1007/s00245-022-09911-x 
    Details  DOI 
  • 2022 Journal Article
    ​ ​Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees​
    Heinemann, F.; Munk, A. & Zemel, Y.​ (2022) 
    SIAM Journal on Mathematics of Data Science4(1) pp. 229​-259​.​ DOI: https://doi.org/10.1137/20M1385263 
    Details  DOI 
  • 2023 Journal Article
    ​ ​Toward quantitative super-resolution microscopy: molecular maps with statistical guarantees​
    Proksch, K.; Werner, F.; Keller–Findeisen, J.; Ta, H. & Munk, A.​ (2023) 
    Microscopy, art. dfad053​.​ DOI: https://doi.org/10.1093/jmicro/dfad053 
    Details  DOI 
  • 2023 Preprint
    ​ ​Multiscale scanning with nuisance parameters​
    König, C.; Munk, A.& Werner, F.​ (2023). DOI: https://doi.org/10.48550/ARXIV.2307.13301 
    Details  DOI 
  • 2023 Journal Article
    ​ ​Minimax detection of localized signals in statistical inverse problems​
    Pohlmann, M.; Werner, F. & Munk, A.​ (2023) 
    Information and Inference12(3) art. iaad026​.​ DOI: https://doi.org/10.1093/imaiai/iaad026 
    Details  DOI 
  • 2023 Journal Article
    ​ ​Statistical Analysis of Random Objects Via Metric Measure Laplacians​
    Mordant, G. & Munk, A.​ (2023) 
    SIAM Journal on Mathematics of Data Science5(2) pp. 528​-557​.​ DOI: https://doi.org/10.1137/22M1491022 
    Details  DOI 
  • 2023 Journal Article
    ​ ​The Ultrametric Gromov–Wasserstein Distance​
    Mémoli, F.; Munk, A.; Wan, Z. & Weitkamp, C.​ (2023) 
    Discrete & Computational Geometry70(4) pp. 1378​-1450​.​ DOI: https://doi.org/10.1007/s00454-023-00583-0 
    Details  DOI 
  • 2024 Journal Article
    ​ ​Limit distributions and sensitivity analysis for empirical entropic optimal transport on countable spaces​
    Hundrieser, S.; Klatt, M. & Munk, A.​ (2024) 
    The Annals of Applied Probability34(1B).​ DOI: https://doi.org/10.1214/23-AAP1995 
    Details  DOI 

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