Author Munk, Axel
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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
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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
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2022 | Journal Article |
Kantorovich–Rubinstein Distance and Barycenter for Finitely Supported Measures: Foundations and Algorithms
Heinemann, F.; Klatt, M. & Munk, A. (2022)
Applied Mathematics & Optimization, 87(1). DOI: https://doi.org/10.1007/s00245-022-09911-x
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2022 | Journal Article
Randomized Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
Heinemann, F.; Munk, A. & Zemel, Y. (2022)
SIAM Journal on Mathematics of Data Science, 4(1) pp. 229-259. DOI: https://doi.org/10.1137/20M1385263
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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
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2023 | Preprint
Multiscale scanning with nuisance parameters
König, C.; Munk, A.& Werner, F. (2023). DOI: https://doi.org/10.48550/ARXIV.2307.13301
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2023 | Journal Article
Minimax detection of localized signals in statistical inverse problems
Pohlmann, M.; Werner, F. & Munk, A. (2023)
Information and Inference, 12(3) art. iaad026. DOI: https://doi.org/10.1093/imaiai/iaad026
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2023 | Journal Article
Statistical Analysis of Random Objects Via Metric Measure Laplacians
Mordant, G. & Munk, A. (2023)
SIAM Journal on Mathematics of Data Science, 5(2) pp. 528-557. DOI: https://doi.org/10.1137/22M1491022
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