Prof. Dr. Axel Munk

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  • 2023 | Preprint
    ​ ​Vimentin intermediate filaments structure and mechanically support microtubules in cells​
    Blob, A.; Ventzke, D.; Nies, G.; Dühmert, J. N.; Schmitzer, B. ; Munk, A.  & Schaedel, L. et al.​ (2023). DOI: https://doi.org/10.1101/2023.04.19.537509 
    ​Details  DOI 
  • 2023 | Journal Article | 
    ​ ​Towards Unbiased Fluorophore Counting in Superresolution Fluorescence Microscopy​
    Laitenberger, O.; Aspelmeier, T.; Staudt, T.; Geisler, C.; Munk, A.   & Egner, A. ​ (2023) 
    Nanomaterials, 13(3).​ DOI: https://doi.org/10.3390/nano13030459 
    ​Details  DOI 
  • 2023 | Preprint
    ​ ​Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications​
    Hundrieser, S.; Mordant, G.; Weitkamp, C. A.& Munk, A. ​ (2023). DOI: https://doi.org/10.48550/ARXIV.2301.01287 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​A Unifying Approach to Distributional Limits for Empirical Optimal Transport​
    Hundrieser, S.; Klatt, M.; Staudt, T.& Munk, A. ​ (2022)
    ​Details  arXiv 
  • 2022 | Preprint
    ​ ​Empirical Optimal Transport between Different Measures Adapts to Lower Complexity​
    Hundrieser, S.; Staudt, T.& Munk, A. ​ (2022)
    ​Details  arXiv 
  • 2022 | Preprint
    ​ ​On the Uniqueness of Kantorovich Potentials​
    Staudt, T.; Hundrieser, S.& Munk, A. ​ (2022)
    ​Details  arXiv 
  • 2022 | Book Chapter
    ​ ​The Statistics of Circular Optimal Transport​
    Hundrieser, S.; Klatt, M.& Munk, A. ​ (2022)
    In:​SenGupta, Ashis; Arnold, Barry C.​ (Eds.), Directional Statistics for Innovative Applications. A Bicentennial Tribute to Florence Nightingale pp. 57​-82. ​Singapore: ​Springer. DOI: https://doi.org/10.1007/978-981-19-1044-9_4 
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper
    ​ ​Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets​
    Behr, M. & Munk, A. ​ (2022) 
    SIAM Journal on Mathematics of Data Science, 4(2) pp. 490​-513​.​ DOI: https://doi.org/10.1137/21M1398860 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Statistical analysis of random objects via metric measure Laplacians​
    Mordant, G.& Munk, A. ​ (2022). DOI: https://doi.org/10.48550/arXiv.2204.06493 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Unbalanced Kantorovich-Rubinstein distance and barycenter for finitely supported measures: A statistical perspective​
    Heinemann, F.; Klatt, M.& Munk, A. ​ (2022). DOI: https://doi.org/10.48550/ARXIV.2211.08858 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Limit laws for empirical optimal solutions in random linear programs​
    Klatt, M.; Munk, A.   & Zemel, Y.​ (2022) 
    Annals of Operations Research,.​ DOI: https://doi.org/10.1007/s10479-022-04698-0 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​A Variational View on Statistical Multiscale Estimation​
    Haltmeier, M.; Li, H.   & Munk, A. ​ (2022) 
    Annual Review of Statistics and Its Application, 9(1) pp. 343​-372​.​ DOI: https://doi.org/10.1146/annurev-statistics-040120-030531 
    ​Details  DOI 
  • 2021 | Preprint
    ​ ​Minimax detection of localized signals in statistical inverse problems​
    Pohlmann, M.; Werner, F.& Munk, A. ​ (2021)
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Kantorovich-Rubinstein distance and barycenter for finitely supported measures: Foundations and Algorithms​
    Heinemann, F.; Klatt, M.& Munk, A. ​ (2021)
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Transport Dependency: Optimal Transport Based Dependency Measures​
    Nies, T. G.; Staudt, T.& Munk, A. ​ (2021)
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Limit Distributions and Sensitivity Analysis for Entropic Optimal Transport on Countable Spaces​
    Hundrieser, S.; Klatt, M.& Munk, A. ​ (2021)
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​The Statistics of Circular Optimal Transport​
    Hundrieser, S.; Klatt, M.& Munk, A. ​ (2021)
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications​
    Vanegas, L. J.; Eltzner, B.; Rudolf, D. ; Dura, M.; Lehnart, S. E.  & Munk, A. ​ (2021). DOI: https://doi.org/10.48550/arXiv.2103.06071 
    ​Details  DOI  arXiv 
  • 2021 | Preprint
    ​ ​The ultrametric Gromov-Wasserstein distance​
    Mémoli, F.; Munk, A. ; Wan, Z.& Weitkamp, C.​ (2021)
    ​Details  arXiv 
  • 2021 | Journal Article
    ​ ​What is resolution? A statistical minimax testing perspective on superresolution microscopy​
    Kulaitis, G.; Munk, A.   & Werner, F.​ (2021) 
    The Annals of Statistics, 49(4).​ DOI: https://doi.org/10.1214/20-AOS2037 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper
    ​ ​Colocalization for super-resolution microscopy via optimal transport​
    Tameling, C.; Stoldt, S. ; Stephan, T. ; Naas, J.; Jakobs, S.   & Munk, A. ​ (2021) 
    Nature computational science, 1(3) pp. 199​-211​.​ DOI: https://doi.org/10.1038/s43588-021-00050-x 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Frame-constrained total variation regularization for white noise regression​
    del Álamo, M.; Li, H.   & Munk, A. ​ (2021) 
    The Annals of Statistics, 49(3).​ DOI: https://doi.org/10.1214/20-AOS2001 
    ​Details  DOI  arXiv 
  • 2021 | Journal Article | Research Paper
    ​ ​Multiple haplotype reconstruction from allele frequency data​
    Pelizzola, M.; Behr, M.; Li, H. ; Munk, A.   & Futschik, A.​ (2021) 
    Nature computational science, 1(4) pp. 262​-271​.​ DOI: https://doi.org/10.1038/s43588-021-00056-5 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper
    ​ ​Multiscale Quantile Segmentation​
    Jula Vanegas, L.; Behr, M.   & Munk, A. ​ (2021) 
    Journal of the American Statistical Association, pp. 1​-14​.​ DOI: https://doi.org/10.1080/01621459.2020.1859380 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Posterior analysis of n in the binomial (n,p) problem with both parameters unknown—with applications to quantitative nanoscopy​
    Schmidt-Hieber, J.; Schneider, L. F.; Staudt, T.; Krajina, A.; Aspelmeier, T. & Munk, A. ​ (2021) 
    The Annals of Statistics, 49(6).​ DOI: https://doi.org/10.1214/21-AOS2096 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Heterogeneous Idealization of Ion Channel Recordings – Open Channel Noise​
    Pein, F. ; Bartsch, A.; Steinem, C.   & Munk, A. ​ (2021) 
    IEEE Transactions on NanoBioscience, 20(1) pp. 57​-78​.​ DOI: https://doi.org/10.1109/TNB.2020.3031202 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding​
    Bartsch, A.; Ives, C. M.; Kattner, C.; Pein, F. ; Diehn, M.; Tanabe, M. & Munk, A.  et al.​ (2021) 
    Biochimica et Biophysica Acta. Biomembranes, 1863(6) pp. 183601​.​ DOI: https://doi.org/10.1016/j.bbamem.2021.183601 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Analysis of patchclamp recordings: model-free multiscale methods and software​
    Pein, F. ; Eltzner, B.   & Munk, A. ​ (2021) 
    European Biophysics Journal, 50(2) pp. 187​-209​.​ DOI: https://doi.org/10.1007/s00249-021-01506-8 
    ​Details  DOI  PMID  PMC 
  • 2020 | Preprint
    ​ ​Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees​
    Heinemann, F.; Munk, A.  & Zemel, Y.​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Variational Multiscale Nonparametric Regression: Algorithms and Implementation​
    del Alamo, M.; Li, H. ; Munk, A.  & Werner, F.​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries​
    Kovács, S.; Li, H. ; Haubner, L.; Munk, A.  & Bühlmann, P.​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Heterogeneous Idealization of Ion Channel Recordings -- Open Channel Noise​
    Pein, F.; Bartsch, A.; Steinem, C.  & Munk, A. ​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference​
    Weitkamp, C. A.; Proksch, K.; Tameling, C.& Munk, A. ​ (2020)
    ​Details  arXiv 
  • 2020 | Book Chapter
    ​ ​Statistical Foundations of Nanoscale Photonic Imaging​
    Munk, A. ; Staudt, T.& Werner, F.​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, D. Russell​ (Eds.), Nanoscale Photonic Imaging pp. 125​-143.  DOI: https://doi.org/10.1007/978-3-030-34413-9_4 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​What is resolution? A statistical minimax testing perspective on super-resolution microscopy​
    Kulaitis, G.; Munk, A.  & Werner, F.​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Seeded Binary Segmentation: A general methodology for fast and optimal change point detection​
    Kovács, S.; Li, H. ; Bühlmann, P.& Munk, A. ​ (2020)
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Testing for dependence on tree structures​
    Behr, M.; Ansari, M. A.; Munk, A.  & Holmes, C.​ (2020). DOI: https://doi.org/10.1101/622811 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Multiple Haplotype Reconstruction from Allele Frequency Data​
    Pelizzola, M.; Behr, M.; Li, H. ; Munk, A.  & Futschik, A.​ (2020). DOI: https://doi.org/10.1101/2020.07.09.191924 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding​
    Bartsch, A.; Ives, C. M.; Kattner, C.; Pein, F.; Diehn, M.; Tanabe, M.& Munk, A.  et al.​ (2020). DOI: https://doi.org/10.1101/2020.11.06.369579 
    ​Details  DOI 
  • 2020 | Book Chapter
    ​ ​Photonic Imaging with Statistical Guarantees: From Multiscale Testing to Multiscale Estimation​
    Munk, A. ; Proksch, K. ; Li, H.  & Werner, F. ​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, D. Russell​ (Eds.), Nanoscale Photonic Imaging pp. 283​-312. (Vol. 134). ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-34413-9_11 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Empirical Regularized Optimal Transport: Statistical Theory and Applications​
    Klatt, M.; Tameling, C. & Munk, A. ​ (2020) 
    SIAM Journal on Mathematics of Data Science, 2(2) pp. 419​-443​.​ DOI: https://doi.org/10.1137/19M1278788 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Bump detection in the presence of dependency: Does it ease or does it load?​
    Enikeeva, F.; Munk, A. ; Pohlmann, M. & Werner, F.​ (2020) 
    Bernoulli, 26(4) pp. 3280​-3310​.​ DOI: https://doi.org/10.3150/20-BEJ1226 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Total variation multiscale estimators for linear inverse problems​
    del Alamo Ruiz, M. & Munk, A. ​ (2020) 
    Information and Inference, 9(4) pp. 961​-986​.​ DOI: https://doi.org/10.1093/imaiai/iaaa001/5766645 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​The essential histogram​
    Li, H. ; Munk, A. ; Sieling, H.   & Walther, G.​ (2020) 
    Biometrika, 107(2) pp. 347​-364​.​ DOI: https://doi.org/10.1093/biomet/asz081 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Statistical Molecule Counting in Super-Resolution Fluorescence Microscopy: Towards Quantitative Nanoscopy​
    Staudt, T.; Aspelmeier, T. ; Laitenberger, O.; Geisler, C. ; Egner, A.   & Munk, A. ​ (2020) 
    Statistical Science, 35(1) pp. 92​-111​.​ DOI: https://doi.org/10.1214/19-STS753 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Multidimensional multiscale scanning in exponential families: Limit theory and statistical consequences​
    König, C.; Munk, A.   & Werner, F. ​ (2020) 
    The Annals of Statistics, 48(2).​ DOI: https://doi.org/10.1214/18-AOS1806 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Variational Multiscale Nonparametric Regression: Algorithms and Implementation​
    del Alamo, M.; Li, H. ; Munk, A.   & Werner, F. ​ (2020) 
    Algorithms, 13(11) pp. 296​.​ DOI: https://doi.org/10.3390/a13110296 
    ​Details  DOI 
  • 2020 | Preprint | 
    ​ ​Analysis of Patchclamp Recordings: Model-Free Multiscale Methods and Software​
    Pein, F.; Eltzner, B.& Munk, A. ​ (2020)
    ​Details 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Testing for dependence on tree structures​
    Behr, M. ; Ansari, M. A.; Munk, A.   & Holmes, C.​ (2020) 
    Proceedings of the National Academy of Sciences of the United States of America, 117(18) pp. 9787​-9792​.​ DOI: https://doi.org/10.1073/pnas.1912957117 
    ​Details  DOI  PMID  PMC 
  • 2019 | Preprint
    ​ ​Multiscale quantile segmentation​
    Vanegas, L. J.; Behr, M.& Munk, A. ​ (2019)
    ​Details  arXiv 
  • 2019 | Book Chapter
    ​ ​Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study​
    Schneider, L. F.; Staudt, T.& Munk, A. ​ (2019)
    In:​Argiento, R.; Durante, D.; Wade, S.​ (Eds.), Bayesian Statistics and New Generations pp. 35​-42. ​Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-030-30611-3_4 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Maximum likelihood estimation in hidden Markov models with inhomogeneous noise​
    Diehn, M.; Munk, A.   & Rudolf, D. ​ (2019) 
    Probability and Statistics, 23 pp. 492​-523​.​ DOI: https://doi.org/10.1051/ps/2018017 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper
    ​ ​Optimal Transport: Fast Probabilistic Approximation with Exact Solvers​
    Sommerfeld, M.; Schrieber, J.; Zemel, Y. & Munk, A. ​ (2019) 
    Journal of Machine Learning Research, 20(105) pp. 1​-23​.​
    ​Details 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Multiscale Change-point Segmentation: Beyond Step Functions​
    Li, H. ; Guo, Q. & Munk, A. ​ (2019) 
    Electronic Journal of Statistics, 13(2) pp. 3254​-3296​.​ DOI: https://doi.org/10.1214/19-EJS1608 
    ​Details  DOI  arXiv 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications​
    Tameling, C.; Sommerfeld, M. & Munk, A. ​ (2019) 
    The Annals of Applied Probability, 29(5) pp. 2744​-2781​.​ DOI: https://doi.org/10.1214/19-AAP1463 
    ​Details  DOI  arXiv 
  • 2019 | Journal Article | Research Paper | 
    ​ ​High-resolution experimental and computational electrophysiology reveals weak β-lactam binding events in the porin PorB​
    Bartsch, A.; Llabrés, S.; Pein, F.; Kattner, C.; Schön, M.; Diehn, M. & Tanabe, M. et al.​ (2019) 
    Scientific Reports, 9(1) art. 1264​.​ DOI: https://doi.org/10.1038/s41598-018-37066-9 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Molecular contribution function in RESOLFT nanoscopy​
    Frahm, L.; Keller-Findeisen, J. ; Alt, P.; Schnorrenberg, S. ; del Álamo Ruiz, M.; Aspelmeier, T.   & Munk, A.  et al.​ (2019) 
    Optics Express, 27(15) pp. 21956​.​ DOI: https://doi.org/10.1364/OE.27.021956 
    ​Details  DOI  PMID  PMC 
  • 2018 | Preprint
    ​ ​Posterior analysis of $ in the binomial $(n,p)$ problem with both parameters unknown -- with applications to quantitative nanoscopy​
    Schmidt-Hieber, J.; Schneider, L. F.; Staudt, T.; Krajina, A.; Aspelmeier, T.& Munk, A. ​ (2018)
    ​Details  arXiv 
  • 2018 | Preprint
    ​ ​Frame-constrained Total Variation Regularization for White Noise Regression​
    del Álamo, M.; Li, H.  & Munk, A. ​ (2018)
    ​Details  arXiv 
  • 2018 | Journal Article
    ​ ​Fully Automatic Multiresolution Idealization for Filtered Ion Channel Recordings: Flickering Event Detection​
    Pein, F. ; Tecuapetla-Gomez, I.; Schutte, O. M. ; Steinem, C.   & Munk, A. ​ (2018) 
    IEEE Transactions on NanoBioscience, 17(3) pp. 300​-320​.​ DOI: https://doi.org/10.1109/TNB.2018.2845126 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article
    ​ ​Bump detection in heterogeneous Gaussian regression​
    Enikeeva, F.; Munk, A.   & Werner, F. ​ (2018) 
    Bernoulli, 24(2) pp. 1266​-1306​.​ DOI: https://doi.org/10.3150/16-BEJ899 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Multiscale scanning in inverse problems​
    Proksch, K. ; Werner, F.   & Munk, A. ​ (2018) 
    The Annals of Statistics, 46(6B) pp. 3569​-3602​.​ DOI: https://doi.org/10.1214/17-AOS1669 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Multiscale Blind Source Separation​
    Behr, M. ; Holmes, C. & Munk, A. ​ (2018) 
    The Annals of Statistics, 46(2) pp. 711​-744​.​ DOI: https://doi.org/10.1214/17-AOS1565 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Variational multiscale nonparametric regression: Smooth functions​
    Grasmair, M.; Li, H.   & Munk, A. ​ (2018) 
    Annales de l´Institut Henri Poincaré. B, Probability and Statistics, 54(2) pp. 1058​-1097​.​ DOI: https://doi.org/10.1214/17-AIHP832 
    ​Details  DOI  arXiv 
  • 2017 | Preprint
    ​ ​Minimax estimation in linear models with unknown finite alphabet design​
    Behr, M.  & Munk, A. ​ (2017)
    ​Details  arXiv 
  • 2017 | Journal Article
    ​ ​Kernel Partial Least Squares for Stationary Data​
    Singer, M. ; Krivobokova, T.   & Munk, A. ​ (2017) 
    Journal of Machine Learning Research, 18(123) pp. 1​-41​.​
    ​Details  arXiv 
  • 2017 | Journal Article
    ​ ​Heterogeneous change point inference​
    Pein, F. ; Sieling, H.   & Munk, A. ​ (2017) 
    Journal of the Royal Statistical Society. Series B, Statistical Methodology, 79(4) pp. 1207​-1227​.​ DOI: https://doi.org/10.1111/rssb.12202 
    ​Details  DOI  arXiv 
  • 2017 | Journal Article
    ​ ​Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures​
    Behr, M.   & Munk, A. ​ (2017) 
    IEEE Transactions on Information Theory, 63(9) pp. 5506​-5517​.​ DOI: https://doi.org/10.1109/TIT.2017.2717586 
    ​Details  DOI  arXiv 
  • 2017 | Journal Article
    ​ ​Inference for Empirical Wasserstein Distances on Finite Spaces​
    Sommerfeld, M. & Munk, A. ​ (2017) 
    Journal of the Royal Statistical Society. Series B, Statistical Methodology, 80(1) pp. 219​-238​.​ DOI: https://doi.org/10.1111/rssb.12236 
    ​Details  DOI  arXiv 
  • 2016 | Journal Article
    ​ ​The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation​
    Huckemann, S. ; Kim, K.-R.; Munk, A. ; Rehfeldt, F. ; Sommerfeld, M.; Weickert, J. & Wollnik, C.​ (2016) 
    Bernoulli, 22(4) pp. 2113​-2142​.​ DOI: https://doi.org/10.3150/15-BEJ722 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | Research Paper
    ​ ​Drift estimation in sparse sequential dynamic imaging, with application to nanoscale fluorescence microscopy​
    Hartmann, A. K.; Huckemann, S. ; Dannemann, J.; Laitenberger, O.; Geisler, C. ; Egner, A.   & Munk, A. ​ (2016) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78(3) pp. 563​-587​.​ DOI: https://doi.org/10.1111/rssb.12128 
    ​Details  DOI  WoS 
  • 2016 | Journal Article
    ​ ​A studentized permutation test for three-arm trials in the ‘gold standard’ design​
    Mütze, T. ; Konietschke, F. ; Munk, A.   & Friede, T. ​ (2016) 
    Statistics in Medicine, 36(6) pp. 883​-898​.​ DOI: https://doi.org/10.1002/sim.7176 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Autocovariance Estimation in Regression with a Discontinuous Signal and m-Dependent Errors: A Difference-Based Approach​
    Tecuapetla-Gómez, I. & Munk, A. ​ (2016) 
    Scandinavian Journal of Statistics, 44(2) pp. 346​-368​.​ DOI: https://doi.org/10.1111/sjos.12256 
    ​Details  DOI 
  • 2016 | Journal Article | Research Paper
    ​ ​Partial least squares for dependent data​
    Singer, M. ; Krivobokova, T. ; Munk, A.   & Groot, B. L. de ​ (2016) 
    Biometrika, 103(2) pp. 351​-362​.​ DOI: https://doi.org/10.1093/biomet/asw010 
    ​Details  DOI  WoS 
  • 2016 | Preprint
    ​ ​The Essential Histogram​
    Li, H. ; Munk, A. ; Sieling, H.  & Walther, G.​ (2016)
    ​Details  arXiv 
  • 2016 | Journal Article | Research Paper
    ​ ​Limit laws of the empirical Wasserstein distance: Gaussian distributions​
    Rippl, T.; Munk, A.   & Sturm, A. ​ (2016) 
    Journal of Multivariate Analysis, 151 pp. 90​-109​.​ DOI: https://doi.org/10.1016/j.jmva.2016.06.005 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | 
    ​ ​FDR-control in multiscale change-point segmentation​
    Li, H. ; Munk, A.   & Sieling, H. ​ (2016) 
    Electronic Journal of Statistics, 10(1) pp. 918​-959​.​ DOI: https://doi.org/10.1214/16-EJS1131 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | Erratum | 
    ​ ​Corrigendum: Fluorescence nanoscopy by polarization modulation and polarization angle narrowing​
    Hafi, N.; Grunwald, M. ; van den Heuvel, L. S.; Aspelmeier, T. ; Chen, J.-H. ; Zagrebelsky, M. & Schütte, O. M.  et al.​ (2016) 
    Nature Methods, 13(1) art. 101​.​ DOI: https://doi.org/10.1038/nmeth0116-101a 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | Research Paper
    ​ ​Design and analysis of three-arm trials with negative binomially distributed endpoints​
    Muetze, T. ; Munk, A.   & Friede, T. ​ (2016) 
    Statistics in Medicine, 35(4) pp. 505​-521​.​ DOI: https://doi.org/10.1002/sim.6738 
    ​Details  DOI  PMID  PMC  WoS 
  • 2016 | Journal Article | Letter Note
    ​ ​Reply to "Polarization modulation adds little additional information to super-resolution fluorescence microscopy"​
    Hafi, N.; Grunwald, M. ; van den Heuvel, L. S.; Aspelmeier, T. ; Steinem, C. ; Korte, M. & Munk, A.  et al.​ (2016) 
    Nature Methods, 13(1) pp. 8​-9​.​ DOI: https://doi.org/10.1038/nmeth.3721 
    ​Details  DOI  PMID  PMC  WoS 
  • 2015 | Journal Article
    ​ ​Fluorescence Nanoscopy by Polarization Modulation (SPoD) and Polarization Angle Narrowing (ExPAN)​
    Walla, P. J.; Hafi, N.; Matthias, G.; Jess, L. S.; Aspelmeier, T.; Martha, Z. & Pfennig, D. et al.​ (2015) 
    Biophysical Journal, 108(2) pp. 7a​-8a​.​ DOI: https://doi.org/10.1016/j.bpj.2014.11.063 
    ​Details  DOI 
  • 2015 | Journal Article
    ​ ​Persistence Barcodes Versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals​
    Bauer, U.; Munk, A. ; Sieling, H.   & Wardetzky, M. ​ (2015) 
    Foundations of Computational Mathematics, 17(1) pp. 1​-33​.​ DOI: https://doi.org/10.1007/s10208-015-9281-9 
    ​Details  DOI 
  • 2015 | Book Chapter
    ​ ​Spot Volatility Estimation for High-Frequency Data: Adaptive Estimation in Practice​
    Sabel, T.; Schmidt-Hieber, J.& Munk, A. ​ (2015)
    In:​Antoniadis, Anestis; Poggi, Jean-Michel; Brossat, Xavier​ (Eds.), Modeling and Stochastic Learning for Forecasting in High Dimensions pp. 213​-241. ​Springer Nature. DOI: https://doi.org/10.1007/978-3-319-18732-7_12 
    ​Details  DOI 
  • 2015 | Conference Paper
    ​ ​Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images​
    Peter, P.; Weickert, J.; Munk, A. ; Krivobokova, T.   & Li, H. ​ (2015)
    In:Tai, Xue-Cheng​ (Ed.), ​Energy minimization methods in computer vision and pattern recognition pp. 263​-277. , Hong Kong, China.
    Cham​: Springer. DOI: https://doi.org/10.1007/978-3-319-14612-6_20 
    ​Details  DOI 
  • 2015 | Conference Abstract
    ​ ​Fluorescence Nanoscopy by Polarization Modulation (SPoD) and Polarization Angle Narrowing (ExPAN)​
    Walla, P. J. ; Hafi, N.; Matthias, G.; Jess, L. S.; Aspelmeier, T.; Martha, Z. & Pfennig, D. et al.​ (2015)
    Biophysical Journal, 108(2) pp. 7A​-8A. , Baltimore, MD.
    Cambridge​: Cell Press.
    ​Details  WoS 
  • 2015 | Journal Article | Research Paper
    ​ ​Security Considerations in Minutiae-Based Fuzzy Vaults​
    Tams, B. ; Mihailescu, P.   & Munk, A. ​ (2015) 
    IEEE Transactions on Information Forensics and Security, 10(5) pp. 985​-998​.​ DOI: https://doi.org/10.1109/TIFS.2015.2392559 
    ​Details  DOI  WoS 
  • 2015 | Journal Article
    ​ ​Modern Statistical Challenges in High-Resolution Fluorescence Microscopy​
    Aspelmeier, T. ; Egner, A.   & Munk, A. ​ (2015) 
    Annual Review of Statistics and Its Application, 2 pp. 163​-202​.​ DOI: https://doi.org/10.1146/annurev-statistics-010814-020343 
    ​Details  DOI  WoS 
  • 2015 | Journal Article | Letter Note | 
    ​ ​Discussion of "Hypotheses testing by convex optimization"​
    Munk, A.   & Werner, F. ​ (2015) 
    Electronic Journal of Statistics, 9(2) pp. 1720​-1722​.​ DOI: https://doi.org/10.1214/14-EJS980 
    ​Details  DOI  WoS 
  • 2015 | Journal Article | Research Paper | 
    ​ ​Mapping molecules in scanning far-field fluorescence nanoscopy​
    Ta, H. ; Keller, J. ; Haltmeier, M.; Saka, S. K.; Schmied, J.; Opazo, F.   & Tinnefeld, P. et al.​ (2015) 
    Nature Communications, 6 art. 7977​.​ DOI: https://doi.org/10.1038/ncomms8977 
    ​Details  DOI  PMID  PMC  WoS 
  • 2014 | Journal Article
    ​ ​Nanoscopy by Fluorescence Demodulation and Polarization Angle Narrowing​
    Walla, P. J.; Hafi, N.; Grunwald, M.; Van den Heuvel, L.; Aspelmeier, T. ; Zagrebelsky, M. & Korte, M. et al.​ (2014) 
    Biophysical Journal, 106(2) pp. 24a​.​ DOI: https://doi.org/10.1016/j.bpj.2013.11.186 
    ​Details  DOI 
  • 2014 | Conference Abstract
    ​ ​Nanoscopy by Fluorescence Demodulation and Polarization Angle Narrowing​
    Walla, P. J. ; Hafi, N.; Grunwald, M.; van den Heuvel, L.; Timo, A.; Zagrebelsky, M. & Korte, M. et al.​ (2014)
    Biophysical Journal, 106(2) , San Francisco, CA.
    Cambridge​: Cell Press.
    ​Details  WoS 
  • 2014 | Review
    ​ ​Multiscale change point inference​
    Frick, K.; Munk, A.  & Sieling, H. ​ (2014)
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76​(3) pp. 495​-580​.​ DOI: https://doi.org/10.1111/rssb.12047 
    ​Details  DOI  WoS 
  • 2014 | Journal Article | Research Paper
    ​ ​Extreme value analysis of empirical frame coefficients and implications for denoising by soft-thresholding​
    Haltmeier, M. & Munk, A. ​ (2014) 
    Applied and Computational Harmonic Analysis, 36(3) pp. 434​-460​.​ DOI: https://doi.org/10.1016/j.acha.2013.07.004 
    ​Details  DOI  WoS 
  • 2014 | Journal Article | Research Paper | 
    ​ ​Regularized Bayesian Estimation of Generalized Threshold Regression Models​
    Greb, F. ; Krivobokova, T. ; Munk, A.   & Cramon-Taubadel, S. von ​ (2014) 
    Bayesian Analysis, 9(1) pp. 171​-196​.​ DOI: https://doi.org/10.1214/13-BA850 
    ​Details  DOI  WoS 
  • 2014 | Journal Article | 
    ​ ​Asymptotic laws for change point estimation in inverse regression​
    Frick, S.; Hohage, T.   & Munk, A. ​ (2014) 
    Statistica Sinica, 24(2) pp. 555​-575​.​ DOI: https://doi.org/10.5705/ss.2012.007 
    ​Details  DOI  WoS 
  • 2014 | Journal Article | Research Paper
    ​ ​Fluorescence nanoscopy by polarization modulation and polarization angle narrowing​
    Hafi, N.; Grunwald, M. ; van den Heuvel, L. S.; Aspelmeier, T. ; Chen, J.-H. ; Zagrebelsky, M. & Schütte, O. M.  et al.​ (2014) 
    Nature Methods, 11(5) pp. 579​-584​.​ DOI: https://doi.org/10.1038/NMETH.2919 
    ​Details  DOI  PMID  PMC  WoS 
  • 2014 | Journal Article | Research Paper
    ​ ​Multiscale DNA partitioning: statistical evidence for segments​
    Futschik, A.; Hotz, T. ; Munk, A.   & Sieling, H. ​ (2014) 
    Bioinformatics, 30(16) pp. 2255​-2262​.​ DOI: https://doi.org/10.1093/bioinformatics/btu180 
    ​Details  DOI  PMID  PMC  WoS 
  • 2014 | Journal Article
    ​ ​Aggregated Motion Estimation for Real-Time MRI Reconstruction​
    Li, H. ; Haltmeier, M.; Zhang, S.; Frahm, J.   & Munk, A. ​ (2014) 
    Magnetic Resonance in Medicine, 72(4) pp. 1039​-1048​.​ DOI: https://doi.org/10.1002/mrm.25020 
    ​Details  DOI  PMID  PMC  WoS 
  • 2013 | Journal Article | Research Paper
    ​ ​Field localization and rescattering in tip-enhanced photoemission​
    Yalunin, S. V. ; Herink, G. ; Solli, D. R.; Krueger, M.; Hommelhoff, P.; Diehn, M. & Munk, A.  et al.​ (2013) 
    Annalen der Physik, 525(1-2) pp. L12​-L18​.​ DOI: https://doi.org/10.1002/andp.201200224 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | Research Paper
    ​ ​The Estimation of Threshold Models in Price Transmission Analysis​
    Greb, F. ; Cramon-Taubadel, S. von ; Krivobokova, T.   & Munk, A. ​ (2013) 
    American Journal of Agricultural Economics, 95(4) pp. 900​-916​.​ DOI: https://doi.org/10.1093/ajae/aat006 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | Research Paper | 
    ​ ​Multiscale Methods for Shape Constraints in Deconvolution: Confidence Statements for Qualitative Features​
    Schmidt-Hieber, J.; Munk, A.   & Duembgen, L.​ (2013) 
    Annals of statistics, 41(3) pp. 1299​-1328​.​ DOI: https://doi.org/10.1214/13-AOS1089 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | Research Paper | 
    ​ ​Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics​
    Frick, K.; Marnitz, P. & Munk, A. ​ (2013) 
    Journal of Mathematical Imaging and Vision, 46(3) pp. 370​-387​.​ DOI: https://doi.org/10.1007/s10851-012-0368-5 
    ​Details  DOI  WoS 
  • 2013 | Journal Article | Research Paper
    ​ ​Design and semiparametric analysis of non-inferiority trials with active and placebo control for censored time-to-event data​
    Kombrink, K.; Munk, A.   & Friede, T. ​ (2013) 
    Statistics in Medicine, 32(18) pp. 3055​-3066​.​ DOI: https://doi.org/10.1002/sim.5769 
    ​Details  DOI  PMID  PMC  WoS 
  • 2013 | Journal Article | Research Paper | 
    ​ ​Idealizing Ion Channel Recordings by a Jump Segmentation Multiresolution Filter​
    Hotz, T. ; Schütte, O. M. ; Sieling, H. ; Polupanow, T. ; Diederichsen, U. ; Steinem, C.   & Munk, A. ​ (2013) 
    IEEE Transactions on NanoBioscience, 12(4) pp. 376​-386​.​ DOI: https://doi.org/10.1109/TNB.2013.2284063 
    ​Details  DOI  PMID  PMC  WoS 
  • 2012 | Journal Article | Research Paper
    ​ ​Shape-constrained regularization by statistical multiresolution for inverse problems: asymptotic analysis​
    Frick, K.; Marnitz, P. & Munk, A. ​ (2012) 
    Inverse Problems, 28(6) art. 065006​.​ DOI: https://doi.org/10.1088/0266-5611/28/6/065006 
    ​Details  DOI  WoS 
  • 2012 | Journal Article | Research Paper
    ​ ​Locally adaptive image denoising by a statistical multiresolution criterion​
    Hotz, T. ; Marnitz, P.; Stichtenoth, R.; Davies, L.; Kabluchko, Z. & Munk, A. ​ (2012) 
    Computational Statistics & Data Analysis, 56(3) pp. 543​-558​.​ DOI: https://doi.org/10.1016/j.csda.2011.08.018 
    ​Details  DOI  WoS 
  • 2012 | Journal Article | Research Paper | 
    ​ ​Adaptive wavelet estimation of the diffusion coefficient under additive error measurements​
    Hoffmann, M.; Munk, A.   & Schmidt-Hieber, J.​ (2012) 
    Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 48(4) pp. 1186​-1216​.​ DOI: https://doi.org/10.1214/11-AIHP472 
    ​Details  DOI  WoS 
  • 2012 | Journal Article | Research Paper | 
    ​ ​Partial Least-Squares Functional Mode Analysis: Application to the Membrane Proteins AQP1, Aqy1, and CLC-ec1​
    Krivobokova, T. ; Briones, R. ; Hub, J. S. ; Munk, A.   & Groot, B. L. de ​ (2012) 
    Biophysical Journal, 103(4) pp. 786​-796​.​ DOI: https://doi.org/10.1016/j.bpj.2012.07.022 
    ​Details  DOI  PMID  PMC  WoS 
  • 2012 | Journal Article | Research Paper
    ​ ​Drift estimation for single marker switching based imaging schemes​
    Geisler, C. ; Hotz, T. ; Schönle, A. ; Hell, S. ; Munk, A.   & Egner, A. ​ (2012) 
    Optics Express, 20(7) pp. 7274​-7289​.​ DOI: https://doi.org/10.1364/OE.20.007274 
    ​Details  DOI  PMID  PMC  WoS 
  • 2011 | Conference Paper
    ​ ​Statistical analyses of fingerprint growth​
    Hotz, T. ; Gottschlich, C. ; Lorenz, R. ; Bernhardt, S.; Hantschel, M. & Munk, A. ​ (2011)
    In:Brömme, Arslan; Busch, Christoph​ (Eds.), ​BIOSIG 2011 Proceedings - international conference of the biometrics special interest group pp. 11​-20. , Darmstadt.
    Bonn​: Gesellschaft für Informatik.
    ​Details 
  • 2011 | Journal Article | Research Paper
    ​ ​Modeling the Growth of Fingerprints Improves Matching for Adolescents​
    Gottschlich, C. ; Hotz, T. ; Lorenz, R. ; Bernhardt, S.; Hantschel, M. & Munk, A. ​ (2011) 
    IEEE Transactions on Information Forensics and Security, 6(3) pp. 1165​-1169​.​ DOI: https://doi.org/10.1109/TIFS.2011.2143406 
    ​Details  DOI  WoS 
  • 2011 | Journal Article | Research Paper | 
    ​ ​Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data​
    Munk, A. ; Stockis, J.-P.; Valeinis, J. & Giese, G.​ (2011) 
    Annals of the Institute of Statistical Mathematics, 63(5) pp. 939​-959​.​ DOI: https://doi.org/10.1007/s10463-009-0260-2 
    ​Details  DOI  WoS 
  • 2010 | Book Chapter
    ​ ​Lower bounds for volatility estimation in microstructure noise models​
    Munk, A.  & Schmidt-Hieber, J.​ (2010)
    In:​Berger, James O.; Cai, T. Tony; Johnstone, Iain M.​ (Eds.), Borrowing Strength: Theory Powering Applications – A Festschrift for Lawrence D. Brown pp. 43​-55. ​Beachwood, Ohio, USA: ​Institute of Mathematical Statistics. DOI: https://doi.org/10.1214/10-IMSCOLL604 
    ​Details  DOI 
  • 2010 | Book Chapter
    ​ ​On the self-regularization property of the EM algorithm for Poisson inverse problems​
    Munk, A.  & Pricop, M. ​ (2010)
    In: Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir pp. 431​-448. ​Physica-Verlag. DOI: https://doi.org/10.1007/978-3-7908-2413-1_23 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Discussion on the paper by Cule, Samworth and Stewart​
    Dannemann, J. & Munk, A. ​ (2010) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 72(5) pp. 593​-595​.​
    ​Details 
  • 2010 | Journal Article | Letter Note
    ​ ​Intrinsic Shape Analysis: Geodesic PCA for Riemannian Manifolds Modulo Isometric Lie Group Actions Rejoinder​
    Huckemann, S. F. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica, 20(1) pp. 84​-100​.​
    ​Details  WoS 
  • 2010 | Preprint
    ​ ​Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder preprint​
    Huckemann, S. ; Hotz, T.  & Munk, A. ​ (2010)
    ​Details 
  • 2010 | Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2010) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics, 59 pp. 127​-143​.​
    ​Details  WoS 
  • 2010 | Journal Article | Research Paper | 
    ​ ​Moebius deconvolution on the hyperbolic plane with application to impedance density estimation​
    Huckemann, S. ; Kim, P. T.; Koo, J.-Y. & Munk, A. ​ (2010) 
    Annals of statistics, 38(4) pp. 2465​-2498​.​ DOI: https://doi.org/10.1214/09-AOS783 
    ​Details  DOI  WoS 
  • 2010 | Journal Article | 
    ​ ​Rejoinder - Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica, 20 pp. 84​-100​.​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    Statistica Sinica, 20 pp. 1​-100​.​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Sharp minimax estimation of the variance of Brownian motion corrupted with Gaussian noise​
    Cai, T.; Munk, A.   & Schmidt-Hieber, J.​ (2010) 
    Statistica Sinica, 20 pp. 1011​-1024​.​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Shao's theorem on the maximum of standardized random walk increments for multidimensional arrays​
    Kabluchko, Z. & Munk, A. ​ (2010) 
    Probability and Statistics, 13 pp. 409​-416​.​ DOI: https://doi.org/10.1051/ps/2009011 
    ​Details  DOI 
  • 2010 | Journal Article | Research Paper | 
    ​ ​Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise​
    Munk, A.   & Schmidt-Hieber, J.​ (2010) 
    Electronic Journal of Statistics, 4 pp. 781​-821​.​ DOI: https://doi.org/10.1214/10-EJS568 
    ​Details  DOI  WoS 
  • 2010 | Monograph | 
    ​ ​Maß- und Integrationstheorie​ ​
    Munk, A. ​ (2010)
    Göttingen​: Universitätsverlag Göttingen. DOI: https://doi.org/10.17875/gup2010-517 
    ​Details  DOI 
  • 2010 | Journal Article | Research Paper
    ​ ​Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2010) 
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(4) pp. 593​-603​.​ DOI: https://doi.org/10.1109/TPAMI.2009.117 
    ​Details  DOI  PMID  PMC  WoS 
  • 2009 | Journal Article
    ​ ​The likelihood ratio test for non-standard hypotheses near the boundary of the null – with application to the assessment of non-inferiority​
    Balabdaoui, F.; Mielke, M.   & Munk, A. ​ (2009) 
    Statistics & Risk Modeling, 27(1) pp. 75​-92​.​ DOI: https://doi.org/10.1524/stnd.2009.1022 
    ​Details  DOI 
  • 2009 | Journal Article | Letter Note
    ​ ​Comments on: Goodness-of-fit tests in mixed models​
    Munk, A.   & Krivobokova, T.​ (2009) 
    Test, 18(2) pp. 256​-259​.​ DOI: https://doi.org/10.1007/s11749-009-0152-z 
    ​Details  DOI  WoS 
  • 2009 | Journal Article
    ​ ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
    Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2009) 
    Journal of the Royal Statistical Society. Series C, Applied Statistics, 59(1) pp. 127​-143​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.683.x 
    ​Details  DOI 
  • 2009 | Conference Paper
    ​ ​Robust orientation field estimation in fingerprint images with broken ridge lines​
    Gottschlich, C. ; Munk, A.   & Mihailescu, P. ​ (2009)
    In:Zinterhof, Peter​ (Ed.), ​Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, 2009 : ISPA 2009 pp. 529​-533. , Salzburg.
    Piscataway​: IEEE. DOI: https://doi.org/10.1109/ispa.2009.5297684 
    ​Details  DOI 
  • 2009 | Preprint
    ​ ​The assessment and planning of non-inferiority trials for retention of effect hypotheses - towards a general approach​
    Mielke, M.  & Munk, A. ​ (2009)
    ​Details  arXiv 
  • 2009 | Conference Paper
    ​ ​The fuzzy vault for fingerprints is vulnerable to brute force attack​
    Mihăilescu, P. ; Munk, A.   & Tams, B. ​ (2009)
    In:Brömme, Arslan; Busch, Christoph; Hühnlein, Detlef​ (Eds.), ​BIOSIG 2009: biometrics and electronic signatures pp. 43​-54. , Darmstadt.
    Bonn​: Gesellschaft für Informatik.
    ​Details 
  • 2009 | Conference Paper
    ​ ​A statistical stopping rule for MLEM reconstructions in PET​
    Bissantz, N.; Mair, B. A. & Munk, A. ​ (2009)
    ​IEEE Nuclear Science Symposium conference record, 2008 pp. 4198​-4200. , Dresden. DOI: https://doi.org/10.1109/nssmic.2008.4774207 
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​The Estimation of Different Scales in Microstructure Noise Models from a Nonparametric Regression Perspective​
    Munk, A.   & Schmidt-Hieber, J.​ (2009) 
    Oberwolfach Reports, 6(3) pp. 2210​-2212​.​
    ​Details 
  • 2009 | Journal Article | Research Paper
    ​ ​Testing for lack of fit in inverse regression-with applications to biophotonic imaging​
    Bissantz, N.; Claeskens, G.; Holzmann, H. & Munk, A. ​ (2009) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71 pp. 25​-48​.​ DOI: https://doi.org/10.1111/j.1467-9868.2008.00670.x 
    ​Details  DOI  WoS 
  • 2009 | Conference Paper
    ​ ​Intrinsic two-way MANOVA for shape spaces​
    Huckemann, S.   & Munk, A. ​ (2009)
    ​Proceedings of the ISI 2009. ​57th Session of the ISI​, Durban, South Africa.
    ​Details 
  • 2009 | Journal Article | Research Paper
    ​ ​Robust Orientation Field Estimation and Extrapolation Using Semilocal Line Sensors​
    Gottschlich, C. ; Mihailescu, P.   & Munk, A. ​ (2009) 
    IEEE Transactions on Information Forensics and Security, 4(4) pp. 802​-811​.​ DOI: https://doi.org/10.1109/TIFS.2009.2033219 
    ​Details  DOI  WoS 
  • 2009 | Journal Article | Research Paper | 
    ​ ​Jump estimation in inverse regression​
    Boysen, L.; Bruns, S. & Munk, A. ​ (2009) 
    Electronic Journal of Statistics, 3 pp. 1322​-1359​.​ DOI: https://doi.org/10.1214/08-EJS204 
    ​Details  DOI  WoS 
  • 2009 | Journal Article | 
    ​ ​Iteratively regularized Gauss-Newton method for nonlinear inverse problems with random noise​
    Bauer, F. ; Hohage, T.   & Munk, A. ​ (2009) 
    SIAM Journal on Numerical Analysis, 47(3) pp. 1827​-1846​.​ DOI: https://doi.org/10.1137/080721789 
    ​Details  DOI  WoS 
  • 2009 | Journal Article | Research Paper | 
    ​ ​Consistencies and rates of convergence of jump penalized least squares estimators​
    Boysen, L.; Kempe, A.; Liebscher, V.; Munk, A.   & Wittich, O.​ (2009) 
    Annals of statistics, 37(1) pp. 157​-183​.​ DOI: https://doi.org/10.1214/07-AOS558 
    ​Details  DOI  WoS 
  • 2009 | Journal Article | Research Paper | 
    ​ ​Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces​
    Bissantz, N.; Duembgen, L.; Munk, A.   & Stratma, B.​ (2009) 
    SIAM Journal on Optimization, 19(4) pp. 1828​-1845​.​ DOI: https://doi.org/10.1137/050639132 
    ​Details  DOI  WoS 
  • 2008 | Conference Paper
    ​ ​Fingerprint Classification using Entropy Sensitive Tracing​
    Mihăilescu, P. ; Mieloch, K. & Munk, A. ​ (2008)
    ​Progress in industrial mathematics at ECMI 2006 pp. 928​-932. , Leganés (Madrid), Spain.
    Berlin​: Springer. DOI: https://doi.org/10.1007/978-3-540-71992-2_163 
    ​Details  DOI 
  • 2008 | Conference Paper
    ​ ​Hierarchically linked extended features in fingerprints​
    Mieloch, K.; Munk, A.   & Mihailescu, P. ​ (2008)
    ​Biometrics Symposium, 2008 : BSYM '08 pp. 47​-52. , Tampa, Florida.
    Piscataway, NJ​: IEEE. DOI: https://doi.org/10.1109/bsym.2008.4655522 
    ​Details  DOI 
  • 2008 | Preprint
    ​ ​Technical Report on ”The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints”​
    Mielke, M.; Munk, A.  & Schacht, A. ​ (2008)
    ​Details 
  • 2008 | Journal Article | Research Paper
    ​ ​The one- and multi-sample problem for functional data with application to projective shape analysis​
    Munk, A. ; Paige, R.; Pang, J.; Patrangenaru, V. & Ruymgaart, F.​ (2008) 
    Journal of Multivariate Analysis, 99(5) pp. 815​-833​.​ DOI: https://doi.org/10.1016/j.jmva.2007.04.007 
    ​Details  DOI  WoS 
  • 2008 | Journal Article | Letter Note
    ​ ​On the nonidentifiability of population sizes - Reply​
    Holzmann, H. & Munk, A. ​ (2008) 
    Biometrics, 64(3) pp. 979​-981​.​ DOI: https://doi.org/10.1111/j.1541-0420.2008.01079.x 
    ​Details  DOI  WoS 
  • 2008 | Journal Article | Research Paper | 
    ​ ​P-values for classification​
    Duembgen, L.; Igl, B.-W. & Munk, A. ​ (2008) 
    Electronic Journal of Statistics, 2 pp. 468​-493​.​ DOI: https://doi.org/10.1214/08-EJS245 
    ​Details  DOI  WoS 
  • 2008 | Journal Article | Research Paper | 
    ​ ​Exact Convergence Rate for the Maximum of Standardized Gaussian Increments​
    Kabluchko, Z. & Munk, A. ​ (2008) 
    Electronic Communications in Probability, 13(none) art. 30​.​ DOI: https://doi.org/10.1214/ECP.v13-1380 
    ​Details  DOI  WoS 
  • 2008 | Journal Article | Research Paper
    ​ ​Global models for the orientation field of fingerprints: An approach based on quadratic differentials​
    Huckemann, S. ; Hotz, T.   & Munk, A. ​ (2008) 
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(9) pp. 1507​-1519​.​ DOI: https://doi.org/10.1109/TPAMI.2007.70826 
    ​Details  DOI  PMID  PMC  WoS 
  • 2008 | Journal Article | Research Paper | 
    ​ ​Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics​
    Lakomek, N.-A. ; Walter, K. F. A.; Farès, C.; Lange, O. F.; Groot, B. L. de ; Grubmüller, H.   & Brueschweiler, R. et al.​ (2008) 
    Journal of Biomolecular NMR, 41(3) pp. 139​-155​.​ DOI: https://doi.org/10.1007/s10858-008-9244-4 
    ​Details  DOI  PMID  PMC  WoS 
  • 2008 | Journal Article | Research Paper
    ​ ​The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints​
    Mielke, M. ; Munk, A.   & Schacht, A. ​ (2008) 
    Statistics in Medicine, 27(25) pp. 5093​-5110​.​ DOI: https://doi.org/10.1002/sim.3348 
    ​Details  DOI  PMID  PMC  WoS 
  • 2007 | Journal Article
    ​ ​Optimal regularization for ill-posed problems in metric spaces​
    Bauer, F.   & Munk, A. ​ (2007) 
    Journal of Inverse and Ill-posed Problems, 15(2) pp. 137​-148​.​ DOI: https://doi.org/10.1515/jiip.2007.007 
    ​Details  DOI 
  • 2007 | Conference Paper
    ​ ​A multi-scale stopping criterion for MLEM reconstructions in PET​
    Bissantz, N.; Mair, B. A. & Munk, A. ​ (2007)
    ​2006 IEEE Nuclear Science Symposium conference record. , San Diego, Calif.. DOI: https://doi.org/10.1109/nssmic.2006.353726 
    ​Details  DOI 
  • 2007 | Book Chapter
    ​ ​Scale space consistency of piecewise constant least squares estimators – another look at the regressogram​
    Boysen, L.; Liebscher, V.; Munk, A.  & Wittich, O.​ (2007)
    In: Asymptotics: Particles, Processes and Inverse Problems pp. 65​-84. ​Beachwood, Ohio: ​Institute of Mathematical Statistics. DOI: https://doi.org/10.1214/074921707000000274 
    ​Details  DOI 
  • 2007 | Journal Article
    ​ ​Convergence rates of general regularization methods for statistical inverse problems and applications​
    Bissantz, N.; Hohage, T. ; Munk, A.   & Ruymgaart, F.​ (2007) 
    SIAM Journal on Numerical Analysis, 45(6) pp. 2610​-2636​.​ DOI: https://doi.org/10.1137/060651884 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | Research Paper
    ​ ​Testing noninferiority in three-armed clinical trials based on likelihood ratio statistics​
    Munk, A. ; Mielke, M. ; Freitag, G. & Skipka, G.​ (2007) 
    Canadian journal of statistics, 35(3) pp. 413​-431​.​ DOI: https://doi.org/10.1002/cjs.5550350306 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | Research Paper
    ​ ​A nonparametric test for similarity of marginals - With applications to the assessment of population bioequivalence​
    Freitag, G.; Czado, C. & Munk, A. ​ (2007) 
    Journal of Statistical Planning and Inference, 137(3) pp. 697​-711​.​ DOI: https://doi.org/10.1016/j.jspi.2006.06.003 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | Research Paper
    ​ ​Density testing in a contaminated sample​
    Holzmann, H.; Bissantz, N. & Munk, A. ​ (2007) 
    Journal of Multivariate Analysis, 98(1) pp. 57​-75​.​ DOI: https://doi.org/10.1016/j.jmva.2005.09.010 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | Research Paper
    ​ ​Non-parametric analysis of covariance - The case of inhomogeneous and heteroscedastic noise​
    Munk, A. ; Neumeyer, N. & Scholz, A.​ (2007) 
    Scandinavian Journal of Statistics, 34(3) pp. 511​-534​.​ DOI: https://doi.org/10.1111/j.1467-9469.2006.00535.x 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | Research Paper
    ​ ​Non-parametric confidence bands in deconvolution density estimation​
    Bissantz, N.; Dumbgen, L.; Holzmann, H. & Munk, A. ​ (2007) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69 pp. 483​-506​.​ DOI: https://doi.org/10.1111/j.1467-9868.2007.599.x 
    ​Details  DOI  WoS 
  • 2006 | Journal Article | Research Paper
    ​ ​Hidden Markov models for circular and linear-circular time series​
    Holzmann, H.; Munk, A. ; Suster, M. & Zucchini, W. ​ (2006) 
    Environmental and Ecological Statistics, 13(3) pp. 325​-347​.​ DOI: https://doi.org/10.1007/s10651-006-0015-7 
    ​Details  DOI  WoS 
  • 2006 | Journal Article | Research Paper
    ​ ​Tests in a case-control design including relatives​
    Biedermann, S.; Nagel, E.; Munk, A. ; Holzmann, H. & Steland, A.​ (2006) 
    Scandinavian Journal of Statistics, 33(4) pp. 621​-635​.​ DOI: https://doi.org/10.1111/j.1467-9469.2006.00500.x 
    ​Details  DOI  WoS 
  • 2006 | Journal Article | Research Paper
    ​ ​Identifiability of finite mixtures of elliptical distributions​
    Holzmann, H.; Munk, A.   & Gneiting, T.​ (2006) 
    Scandinavian Journal of Statistics, 33(4) pp. 753​-763​.​ DOI: https://doi.org/10.1111/j.1467-9469.2006.00505.x 
    ​Details  DOI  WoS 
  • 2006 | Journal Article | Letter Note
    ​ ​On identifiability in capture-recapture models​
    Holzmann, H.; Munk, A.   & Zucchini, W. ​ (2006) 
    Biometrics, 62(3) pp. 934​-936​.​ DOI: https://doi.org/10.1111/j.1541-0420.2006.00637_1.x 
    ​Details  DOI  PMID  PMC  WoS 
  • 2006 | Journal Article | Research Paper
    ​ ​Non-parametric assessment of non-inferiority with censored data​
    Freitag, G.; Lange, S.   & Munk, A. ​ (2006) 
    Statistics in Medicine, 25(7) pp. 1201​-1217​.​ DOI: https://doi.org/10.1002/sim.2444 
    ​Details  DOI  PMID  PMC  WoS 
  • 2005 | Conference Paper
    ​ ​Dynamic threshold using polynomial surface regression with application to the binarization of fingerprints​
    Mieloch, K.; Mihailescu, P.   & Munk, A. ​ (2005)
    In:Jain, Anil K.; Ratha, Nalini K.​ (Eds.), ​Biometric technology for human identification II pp. 94​-104. , Orlando, Florida.
    Bellingham, Wash.​: SPIE. DOI: https://doi.org/10.1117/12.603377 
    ​Details  DOI 
  • 2005 | Preprint
    ​ ​Consistency of bootstrap procedures for the nonparametric assessment of noninferiority with random censorship​
    Freitag, G.& Munk, A. ​ (2005)
    ​Details 
  • 2005 | Journal Article | Research Paper
    ​ ​On difference-based variance estimation in nonparametric regression when the covariate is high dimensional​
    Munk, A. ; Bissantz, N.; Wagner, T.   & Freitag, G.​ (2005) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67 pp. 19​-41​.​ DOI: https://doi.org/10.1111/j.1467-9868.2005.00486.x 
    ​Details  DOI  WoS 
  • 2005 | Journal Article | Research Paper
    ​ ​Testing general hypotheses under binomial sampling: the two sample case asymptotic theory and exact procedures​
    Munk, A. ; Skipka, G. & Stratma , B.​ (2005) 
    Computational Statistics & Data Analysis, 49(3) pp. 723​-739​.​ DOI: https://doi.org/10.1016/j.csda.2004.05.035 
    ​Details  DOI  WoS 
  • 2005 | Journal Article | Research Paper
    ​ ​Testing, parametric assumptions on band- or time-limited signals under noise​
    Bissantz, N.; Holzmann, H. & Munk, A. ​ (2005) 
    IEEE Transactions on Information Theory, 51(11) pp. 3796​-3805​.​ DOI: https://doi.org/10.1109/TIT.2005.856957 
    ​Details  DOI  WoS 
  • 2005 | Journal Article | Research Paper
    ​ ​On Hadamard differentiability in k-sample semiparametric models with applications to the assessment of structural relationships​
    Freitag, G. & Munk, A. ​ (2005) 
    Journal of Multivariate Analysis, 94(1) pp. 123​-158​.​ DOI: https://doi.org/10.1016/j.jmva.2004.03.006 
    ​Details  DOI  WoS 
  • 2005 | Journal Article | Letter Note
    ​ ​Therapeutic equivalence - Clinical issues and statistical methodology in noninferiority trials​
    Munk, A.   & Trampisch, H. J.​ (2005) 
    Biometrical Journal, 47(1) pp. 7​-9​.​ DOI: https://doi.org/10.1002/bimj.200410093 
    ​Details  DOI  PMID  PMC  WoS 
  • 2004 | Journal Article
    ​ ​Discussion of "Wavelet deconvolution in a periodic setting' by I.M. Johnstone, G. Kerkyacharian, D. Picard and M. Raimondo​
    Munk, A.   & Ruymgaart, F.​ (2004) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 66(3) pp. 642​-643​.​
    ​Details 
  • 2004 | Journal Article
    ​ ​Identifiability of Finite Mixtures - with Applications to Circular Distributions​
    Holzmann, H.; Munk, A.   & Stratma, B.​ (2004) 
    Sankhyā: The Indian Journal of Statistics, 66(3) pp. 440​-449​.​
    ​Details 
  • 2004 | Journal Article
    ​ ​Consistency and rates of convergence of nonlinear Tikhonov regularization with random noise​
    Bissantz, N.; Hohage, T.   & Munk, A. ​ (2004) 
    Inverse Problems, 20(6) pp. 1773​-1789​.​ DOI: https://doi.org/10.1088/0266-5611/20/6/005 
    ​Details  DOI  WoS 
  • 2004 | Journal Article | Research Paper
    ​ ​Unconditional exact tests for the difference of binomial probabilities-contrasted and compared​
    Skipka, G.; Munk, A.   & Freitag, G.​ (2004) 
    Computational Statistics & Data Analysis, 47(4) pp. 757​-773​.​ DOI: https://doi.org/10.1016/j.csda.2003.11.013 
    ​Details  DOI  WoS 
  • 2003 | Book Chapter
    ​ ​Assessing structural relationships between distributions - a quantile process approach based on Mallows distance​
    Freitag, G.; Munk, A.  & Vogt, M. ​ (2003)
    In:​Akritas, Michael G.; politis, dimitris​ (Eds.), Recent Advances and Trends in Nonparametric Statistics pp. 123​-137. ​Amsterdam: ​Elsevier B.V.. DOI: https://doi.org/10.1016/b978-044451378-6/50009-0 
    ​Details  DOI 
  • 2003 | Book Chapter
    ​ ​New Statistical Goodness-of-Fit Techniques in Noisy Inhomogeneous Regression Problems with an Application to the Problem of Recovering of the Luminosity Density of the Milky Way from Surface Brightness Data​
    Bissantz, N.& Munk, A. ​ (2003)
    In:​Feigelson, Eric; Babu, G. Jogesh​ (Eds.), Statistical Challenges in Astronomy pp. 399​-400. ​New York: ​Springer Nature. DOI: https://doi.org/10.1007/0-387-21529-8_29 
    ​Details  DOI 
  • 2003 | Journal Article
    ​ ​Vergleich zweier Messmethoden mit einem Goldstandard am Beispiel der 20-MHz-Sonographie und der klinischen Palpation zur Dickenbestimmung von pigmentierten Tumoren der Haut​
    Freitag, G.; Munk, A.   & Hoffmann, K.​ (2003) 
    Ultraschall in der Medizin, 24(3) pp. 184​-189​.​ DOI: https://doi.org/10.1055/s-2003-40064 
    ​Details  DOI 
  • 2003 | Journal Article | Research Paper
    ​ ​Some methodological aspects of validation of models in nonparametric regression​
    Dette, H. & Munk, A. ​ (2003) 
    Statistica Neerlandica, 57(2) pp. 207​-244​.​ DOI: https://doi.org/10.1111/1467-9574.00228 
    ​Details  DOI  WoS 
  • 2003 | Journal Article | Research Paper
    ​ ​Parametric versus non-parametric modelling? Statistical evidence based on P-value curves​
    Bissantz, N.; Munk, A.   & Scholz, A.​ (2003) 
    Monthly Notices of the Royal Astronomical Society, 340(4) pp. 1190​-1198​.​ DOI: https://doi.org/10.1046/j.1365-8711.2003.06377.x 
    ​Details  DOI  WoS 
  • 2003 | Journal Article
    ​ ​Comparison of two measurement methods with a gold standard as applied to 20-MHz-sonography and clinical palpation for ascertaining the thickness of pigmented skin tumours​
    Freitag, G.; Munk, A.   & Hoffmann, K.​ (2003) 
    Ultraschall in der Medizin - European Journal of Ultrasound, 24(3) pp. 184​-189​.​
    ​Details  PMID  PMC  WoS 
  • 2002 | Journal Article | Research Paper
    ​ ​A graphical selection method for parametric models in noisy inhomogeneous regression​
    Bissantz, N. & Munk, A. ​ (2002) 
    Monthly Notices of the Royal Astronomical Society, 336(1) pp. 131​-138​.​ DOI: https://doi.org/10.1046/j.1365-8711.2002.05720.x 
    ​Details  DOI  WoS 
  • 2002 | Journal Article | Research Paper
    ​ ​A test for additivity in nonparametric regression​
    Derbort, S.; Dette, H. & Munk, A. ​ (2002) 
    Annals of the Institute of Statistical Mathematics, 54(1) pp. 60​-82​.​ DOI: https://doi.org/10.1023/A:1016113704805 
    ​Details  DOI  WoS 
  • 2002 | Journal Article | Research Paper
    ​ ​Testing the goodness of fit of parametric regression models with random Toeplitz forms​
    Munk, A. ​ (2002) 
    Scandinavian Journal of Statistics, 29(3) pp. 501​-533​.​ DOI: https://doi.org/10.1111/1467-9469.00303 
    ​Details  DOI  WoS 
  • 2002 | Journal Article | Research Paper
    ​ ​Minimax Rates for Estimating the Variance and its Derivatives in Non–Parametric Regression​
    Munk, A.   & Ruymgaart, F.​ (2002) 
    Australian & New Zealand Journal of Statistics, 44(4) pp. 479​-488​.​ DOI: https://doi.org/10.1111/1467-842X.00249 
    ​Details  DOI  WoS 
  • 2001 | Conference Paper
    ​ ​New Statistical Goodness of Fit Techniques Applied to the Recovery of the Milky Way Near-IR Luminosity Density Distribution - the 'Wild Bootstrap' Approach​
    Bissantz, N. & Munk, A. ​ (2001)
    In:Funes, J. G.; Corsini, E. M.​ (Eds.), ​In Galaxy Disks and Disk Galaxies pp. 51​-52. (Vol. 230). 
    ​Details 
  • 2001 | Journal Article | Letter Note
    ​ ​Guest editors' note​
    Munk, A.   & Brunner, E.​ (2001) 
    DRUG INFORMATION JOURNAL, 35(3).​
    ​Details  WoS 
  • 2001 | Journal Article | Research Paper
    ​ ​New statistical goodness of fit techniques in noisy inhomogeneous inverse problems - With application to the recovering of the luminosity distribution of the Milky Way​
    Bissantz, N. & Munk, A. ​ (2001) 
    Astronomy & Astrophysics, 376(2) pp. 735​-744​.​ DOI: https://doi.org/10.1051/0004-6361:20010984 
    ​Details  DOI  WoS 
  • 2001 | Conference Paper | Research Paper
    ​ ​On a problem in pharmaceutical statistics and the iteration of a peculiar nonlinear operator in the upper complex halfplane​
    Munk, A. ​ (2001)
    ​Nonlinear Analysis: Theory, Methods & Applications (3) pp. 1513​-1523. (Vol. 47). ​3rd World Congress of Nonlinear Analysts Catania​, SICILY, ITALY.
    Oxford​: Pergamon-elsevier Science Ltd. DOI: https://doi.org/10.1016/S0362-546X(01)00286-3 
    ​Details  DOI  WoS 
  • 2000 | Journal Article | Research Paper
    ​ ​An unbiased test for the average equivalence problem - the small sample case​
    Munk, A. ​ (2000) 
    Journal of Statistical Planning and Inference, 87(1) pp. 69​-86​.​ DOI: https://doi.org/10.1016/S0378-3758(99)00174-3 
    ​Details  DOI  WoS 
  • 2000 | Journal Article
    ​ ​Discussion of "Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests" by E. del Barrio, J.A. Cuesta-Albertos and C. Matran​
    Munk, A. ​ (2000) 
    Test, 9 pp. 84​-88​.​
    ​Details 
  • 2000 | Journal Article | Research Paper
    ​ ​Testing model assumptions in multivariate linear regression models​
    Dette, H.; Munk, A.   & Wagner, T. ​ (2000) 
    Journal of Nonparametric Statistics, 12(3) pp. 309​-342​.​ DOI: https://doi.org/10.1080/10485250008832811 
    ​Details  DOI  WoS 
  • 2000 | Journal Article | Research Paper
    ​ ​Testing average equivalence - Finding a compromise between theory and practice​
    Munk, A. ; Hwang, J. T. G. & Brown, L. D.​ (2000) 
    Biometrical Journal, 42(5) pp. 531​-551​.​ DOI: https://doi.org/10.1002/1521-4036(200009)42:5<531::AID-BIMJ531>3.0.CO;2-6 
    ​Details  DOI  WoS 
  • 2000 | Journal Article | Research Paper
    ​ ​Noncanonical links in generalized linear models - when is the effort justified?​
    Czado, C. & Munk, A. ​ (2000) 
    Journal of Statistical Planning and Inference, 87(2) pp. 317​-345​.​ DOI: https://doi.org/10.1016/S0378-3758(99)00195-0 
    ​Details  DOI  WoS 
  • 2000 | Journal Article | Research Paper
    ​ ​Connections between average and individual bioequivalence​
    Munk, A. ​ (2000) 
    Statistics in Medicine, 19(20) pp. 2843​-2854​.​ DOI: https://doi.org/10.1002/1097-0258(20001030)19:20<2843::aid-sim549>3.0.co;2-a 
    ​Details  DOI  PMID  PMC  WoS 
  • 1999 | Journal Article | Research Paper
    ​ ​A note on unbiased testing for the equivalence problem - another christmas tree​
    Munk, A. ​ (1999) 
    Statistics & Probability Letters, 41(4) pp. 401​-406​.​ DOI: https://doi.org/10.1016/S0167-7152(98)00196-5 
    ​Details  DOI  WoS 
  • 1999 | Journal Article | Research Paper
    ​ ​1-alpha equivariant confidence rules for convex alternatives are alpha/2-level tests - With applications to the multivariate assessment of bioequivalence​
    Munk, A.   & Pfluger, R.​ (1999) 
    Journal of the American Statistical Association, 94(448) pp. 1311​-1319​.​ DOI: https://doi.org/10.2307/2669944 
    ​Details  DOI  WoS 
  • 1999 | Journal Article | Research Paper
    ​ ​Optimal inference for circular variation diminishing experiments with applications to the von-Mises distribution and the Fisher-Efron parabola model​
    Munk, A. ​ (1999) 
    Metrika, 50(1) pp. 1​-17​.​ DOI: https://doi.org/10.1007/s001840050032 
    ​Details  DOI  WoS 
  • 1999 | Journal Article
    ​ ​1 - α Equivariant Confidence Rules for Convex Alternatives are α/2–Level Tests - With Applications to the Multivariate Assessment of Bioequivalence​
    Munk, A.   & Pflüger, R. ​ (1999) 
    Journal of the American Statistical Association, 94(448) pp. 1311​-1319​.​ DOI: https://doi.org/10.1080/01621459.1999.10473883 
    ​Details  DOI 
  • 1998 | Journal Article | Research Paper
    ​ ​A simple goodness-of-fit test for linear models under a random design assumption​
    Dette, H. & Munk, A. ​ (1998) 
    Annals of the Institute of Statistical Mathematics, 50(2) pp. 253​-275​.​ DOI: https://doi.org/10.1023/A:1003439114929 
    ​Details  DOI  WoS 
  • 1998 | Book Chapter
    ​ ​A review of variance estimators with extensions to multivariate nonparametric regression models​
    Dette, H.; Munk, A.  & Wagner, T. ​ (1998)
    In:​Gosh, S.​ (Ed.), Multivariate Design and Sampling pp. 469​-499. ​New York: ​Dekker.
    ​Details 
  • 1998 | Journal Article | Research Paper
    ​ ​Testing heteroscedasticity in nonparametric regression​
    Dette, H. & Munk, A. ​ (1998) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 pp. 693​-708​.​ DOI: https://doi.org/10.1111/1467-9868.00149 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper
    ​ ​Tchebycheff-experiments​
    Munk, A. ​ (1998) 
    Statistics, 31(4) pp. 289​-324​.​ DOI: https://doi.org/10.1080/02331889808802642 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper
    ​ ​Nonparametric validation of similar distributions and assessment of goodness of fit​
    Munk, A.   & Czado, C.​ (1998) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 pp. 223​-241​.​ DOI: https://doi.org/10.1111/1467-9868.00121 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper
    ​ ​Estimating the variance in nonparametric regression - what is a reasonable choice?​
    Dette, H.; Munk, A.   & Wagner, T. ​ (1998) 
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 pp. 751​-764​.​ DOI: https://doi.org/10.1111/1467-9868.00152 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper
    ​ ​Assessing the similarity of distributions - Finite sample performance of the empirical Mallows distance​
    Czado, C. & Munk, A. ​ (1998) 
    Journal of Statistical Computation and Simulation, 60(4) pp. 319​-346​.​ DOI: https://doi.org/10.1080/00949659808811895 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper
    ​ ​Validation of linear regression models​
    Dette, H. & Munk, A. ​ (1998) 
    The Annals of Statistics, 26(2) pp. 778​-800​.​ DOI: https://doi.org/10.1214/aos/1028144860 
    ​Details  DOI  WoS 
  • 1998 | Journal Article | Research Paper | 
    ​ ​Nonparametric comparison of several regression functions: Exact and asymptotic theory​
    Munk, A.   & Dette, H.​ (1998) 
    Annals of statistics, 26(6) pp. 2339​-2368​.​ DOI: https://doi.org/10.1214/aos/1024691474 
    ​Details  DOI  WoS 
  • 1997 | Journal Article | Research Paper
    ​ ​Box-type approximations in nonparametric factorial designs​
    Brunner, E. ; Dette, H. & Munk, A. ​ (1997) 
    Journal of the American Statistical Association, 92(440) pp. 1494​-1502​.​ DOI: https://doi.org/10.2307/2965420 
    ​Details  DOI  WoS 
  • 1997 | Journal Article | Research Paper | 
    ​ ​An unbiased test for the bioequivalence problem​
    Brown, L. D.; Hwang, J. T. G. & Munk, A. ​ (1997) 
    Annals of statistics, 25(6) pp. 2345​-2367​.​ DOI: https://doi.org/10.1214/aos/1030741076 
    ​Details  DOI  WoS 
  • 1997 | Journal Article | Research Paper
    ​ ​Optimum allocation of treatments for Welch's test in equivalence assessment​
    Dette, H. & Munk, A. ​ (1997) 
    Biometrics, 53(3) pp. 1143​-1150​.​ DOI: https://doi.org/10.2307/2533572 
    ​Details  DOI  PMID  PMC  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Equivalence and interval testing for Lehmann's alternative​
    Munk, A. ​ (1996) 
    Journal of the American Statistical Association, 91(435) pp. 1187​-1196​.​ DOI: https://doi.org/10.2307/2291737 
    ​Details  DOI  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Sign regularity of a generalized Cauchy kernel with applications​
    Dette, H. & Munk, A. ​ (1996) 
    Journal of Statistical Planning and Inference, 52(2) pp. 131​-142​.​ DOI: https://doi.org/10.1016/0378-3758(95)00108-5 
    ​Details  DOI  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Influence of endothelin 1 on human atrial myocardium - Myocardial function and subcellular pathways​
    Meyer, M.; Lehnart, S. E. ; Pieske, B. ; Schlottauer, K.; Munk, A. ; Holubarsch, C. & Just, H.  et al.​ (1996) 
    Basic Research in Cardiology, 91(1) pp. 86​-93​.​
    ​Details  PMID  PMC  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Interpersonal dependency of preferences​
    Nida-Rümelin, J.; Schmidt, T. & Munk, A. ​ (1996) 
    Theory and Decision, 41(3) pp. 257​-280​.​ DOI: https://doi.org/10.1007/BF00136128 
    ​Details  DOI  WoS 
  • 1994 | Journal Article | Letter Note
    ​ ​On a method of combining double t-test and Anderson-Hauck test. Reply.​
    Munk, A. ​ (1994) 
    Biometrics, 50(3) pp. 885​-886​.​
    ​Details  WoS 
  • 1994 | Journal Article | Research Paper
    ​ ​An extension of Welch’s approximative t-solution to comparative bioequivalence trials​
    DANNENBERG, O.; Dette, H. & Munk, A. ​ (1994) 
    Biometrika, 81(1) pp. 91​-101​.​
    ​Details  WoS 
  • 1994 | Journal Article
    ​ ​An extension of Welch's approximate t-solution to comparative bioequivalence trials​
    Dannenberg, O.; Dette, H. & Munk, A. ​ (1994) 
    Biometrika, 81(1) pp. 91​-101​.​ DOI: https://doi.org/10.1093/biomet/81.1.91 
    ​Details  DOI 
  • 1993 | Journal Article
    ​ ​An improvement on commonly used tests in bioequivalence assessment​
    Munk, A. ​ (1993) 
    Biometrics, 49(4) pp. 1225​-1230​.​ DOI: https://doi.org/10.2307/2532265 
    ​Details  DOI  WoS 

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