Prof. Dr. Axel Munk

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  • 2024 | Preprint
    ​ ​Requadt R, Fink M, Kubica P, Steinem C, Munk A, Li H. ​Robust inference of cooperative behaviour of multiple ion channels in voltage-clamp recordings​. ​​2024. Available from: http://arxiv.org/abs/2403.13197v1​
    ​Details 
  • 2024 | Preprint
    ​ ​Naas J, Nies G, Li H, Stoldt S, Schmitzer B, Jakobs S, et al. ​MultiMatch: Geometry-Informed Colocalization in Multi-Color Super-Resolution Microscopy​. ​​2024. Available from: https://mbexc.uni-goettingen.de/literature/publications/845 doi: https://doi.org/10.1101/2024.02.28.581557​
    ​Details  DOI 
  • 2023 | Preprint
    ​ ​Mösching A, Li H, Munk A. ​Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models​. ​​2023. Available from: https://onlinelibrary.wiley.com/doi/10.1002/mrm.29485 https://mbexc.uni-goettingen.de/literature/publications/707 doi: https://doi.org/10.48550/arxiv.2305.18578​
    ​Details  DOI  arXiv 
  • 2023 | Preprint
    ​ ​Blob A, Ventzke D, Nies G, Dühmert JN, Schmitzer B, Munk A, et al. ​Vimentin intermediate filaments structure and mechanically support microtubules in cells​. ​​2023. Available from: https://mbexc.uni-goettingen.de/literature/publications/697 doi: https://doi.org/10.1101/2023.04.19.537509​
    ​Details  DOI 
  • 2023 | Journal Article | 
    ​ ​Laitenberger O, Aspelmeier T, Staudt T, Geisler C, Munk A, Egner A. ​Towards Unbiased Fluorophore Counting in Superresolution Fluorescence Microscopy​. ​​Nanomaterials. ​2023;​13​(3). ​doi:10.3390/nano13030459. 
    ​Details  DOI 
  • 2023 | Preprint
    ​ ​Hundrieser S, Mordant G, Weitkamp CA, Munk A. ​Empirical Optimal Transport under Estimated Costs: Distributional Limits and Statistical Applications​. ​​2023. Available from: https://mbexc.uni-goettingen.de/literature/publications/636 doi: https://doi.org/10.48550/ARXIV.2301.01287​
    ​Details  DOI 
  • 2023 | Preprint
    ​ ​Suchan L, Li H, Munk A. ​A scalable clustering algorithm to approximate graph cuts​. ​​2023. Available from: https://mbexc.uni-goettingen.de/literature/publications/748 doi: https://doi.org/10.48550/ARXIV.2308.09613​
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Hundrieser S, Klatt M, Staudt T, Munk A. ​A Unifying Approach to Distributional Limits for Empirical Optimal Transport​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/457​
    ​Details  arXiv 
  • 2022 | Preprint
    ​ ​Hundrieser S, Staudt T, Munk A. ​Empirical Optimal Transport between Different Measures Adapts to Lower Complexity​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/452​
    ​Details  arXiv 
  • 2022 | Preprint
    ​ ​Staudt T, Hundrieser S, Munk A. ​On the Uniqueness of Kantorovich Potentials​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/394​
    ​Details  arXiv 
  • 2022 | Book Chapter
    ​ ​Hundrieser S, Klatt M, Munk A. ​The Statistics of Circular Optimal Transport​. ​In: SenGupta A, Arnold BC​, editors. ​Directional Statistics for Innovative Applications. A Bicentennial Tribute to Florence Nightingale. ​Singapore: ​Springer; ​2022. p. 57​-82​. ​doi:10.1007/978-981-19-1044-9_4. 
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper
    ​ ​Behr M, Munk A. ​Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets​. ​​SIAM Journal on Mathematics of Data Science. ​2022;​4​(2):​​490​-513​. ​doi:10.1137/21M1398860. 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Mordant G, Munk A. ​Statistical analysis of random objects via metric measure Laplacians​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/475 doi: https://doi.org/10.48550/arXiv.2204.06493​
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Heinemann F, Klatt M, Munk A. ​Unbalanced Kantorovich-Rubinstein distance and barycenter for finitely supported measures: A statistical perspective​. ​​2022. Available from: https://mbexc.uni-goettingen.de/literature/publications/610 doi: https://doi.org/10.48550/ARXIV.2211.08858​
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Klatt M, Munk A, Zemel Y. ​Limit laws for empirical optimal solutions in random linear programs​. ​​Annals of Operations Research. ​2022;. ​doi:10.1007/s10479-022-04698-0. 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Haltmeier M, Li H, Munk A. ​A Variational View on Statistical Multiscale Estimation​. ​​Annual Review of Statistics and Its Application. ​2022;​9​(1):​​343​-372​. ​doi:10.1146/annurev-statistics-040120-030531. 
    ​Details  DOI 
  • 2021 | Preprint
    ​ ​Pohlmann M, Werner F, Munk A. ​Minimax detection of localized signals in statistical inverse problems​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/372​
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Heinemann F, Klatt M, Munk A. ​Kantorovich-Rubinstein distance and barycenter for finitely supported measures: Foundations and Algorithms​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/373​
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Nies TG, Staudt T, Munk A. ​Transport Dependency: Optimal Transport Based Dependency Measures​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/310​
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Hundrieser S, Klatt M, Munk A. ​Limit Distributions and Sensitivity Analysis for Entropic Optimal Transport on Countable Spaces​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/309​
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Hundrieser S, Klatt M, Munk A. ​The Statistics of Circular Optimal Transport​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/308​
    ​Details  arXiv 
  • 2021 | Preprint
    ​ ​Vanegas LJ, Eltzner B, Rudolf D, Dura M, Lehnart SE, Munk A. ​Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/245 doi: https://doi.org/10.48550/arXiv.2103.06071​
    ​Details  DOI  arXiv 
  • 2021 | Preprint
    ​ ​Mémoli F, Munk A, Wan Z, Weitkamp C. ​The ultrametric Gromov-Wasserstein distance​. ​​2021. Available from: https://mbexc.uni-goettingen.de/literature/publications/307​
    ​Details  arXiv 
  • 2021 | Journal Article
    ​ ​Kulaitis G, Munk A, Werner F. ​What is resolution? A statistical minimax testing perspective on superresolution microscopy​. ​​The Annals of Statistics. ​2021;​49​(4). ​doi:10.1214/20-AOS2037. 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper
    ​ ​Tameling C, Stoldt S, Stephan T, Naas J, Jakobs S, Munk A. ​Colocalization for super-resolution microscopy via optimal transport​. ​​Nature computational science. ​2021;​1​(3):​​199​-211​. ​doi:10.1038/s43588-021-00050-x. 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​del Álamo M, Li H, Munk A. ​Frame-constrained total variation regularization for white noise regression​. ​​The Annals of Statistics. ​2021;​49​(3). ​doi:10.1214/20-AOS2001. 
    ​Details  DOI  arXiv 
  • 2021 | Journal Article | Research Paper
    ​ ​Pelizzola M, Behr M, Li H, Munk A, Futschik A. ​Multiple haplotype reconstruction from allele frequency data​. ​​Nature computational science. ​2021;​1​(4):​​262​-271​. ​doi:10.1038/s43588-021-00056-5. 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper
    ​ ​Jula Vanegas L, Behr M, Munk A. ​Multiscale Quantile Segmentation​. ​​Journal of the American Statistical Association. ​2021;:​​1​-14​. ​doi:10.1080/01621459.2020.1859380. 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Schmidt-Hieber J, Schneider LF, Staudt T, Krajina A, Aspelmeier T, Munk A. ​Posterior analysis of n in the binomial (n,p) problem with both parameters unknown—with applications to quantitative nanoscopy​. ​​The Annals of Statistics. ​2021;​49​(6). ​doi:10.1214/21-AOS2096. 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Pein F, Bartsch A, Steinem C, Munk A. ​Heterogeneous Idealization of Ion Channel Recordings – Open Channel Noise​. ​​IEEE Transactions on NanoBioscience. ​2021;​20​(1):​​57​-78​. ​doi:10.1109/TNB.2020.3031202. 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Bartsch A, Ives CM, Kattner C, Pein F, Diehn M, Tanabe M, et al. ​An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding​. ​​Biochimica et Biophysica Acta. Biomembranes. ​2021;​1863​(6):​​183601​. ​doi:10.1016/j.bbamem.2021.183601. 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Pein F, Eltzner B, Munk A. ​Analysis of patchclamp recordings: model-free multiscale methods and software​. ​​European Biophysics Journal. ​2021;​50​(2):​​187​-209​. ​doi:10.1007/s00249-021-01506-8. 
    ​Details  DOI  PMID  PMC 
  • 2020 | Preprint
    ​ ​Heinemann F, Munk A, Zemel Y. ​Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/135​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​del Alamo M, Li H, Munk A, Werner F. ​Variational Multiscale Nonparametric Regression: Algorithms and Implementation​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/84​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Kovács S, Li H, Haubner L, Munk A, Bühlmann P. ​Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/75​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Pein F, Bartsch A, Steinem C, Munk A. ​Heterogeneous Idealization of Ion Channel Recordings -- Open Channel Noise​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/63​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Weitkamp CA, Proksch K, Tameling C, Munk A. ​Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/172​
    ​Details  arXiv 
  • 2020 | Book Chapter
    ​ ​Munk A, Staudt T, Werner F. ​Statistical Foundations of Nanoscale Photonic Imaging​. ​In: Salditt T, Egner A, Luke DR​, editors. ​Nanoscale Photonic Imaging. ​2020. p. 125​-143​. ​(Topics in Applied Physics; vol. 134). doi:10.1007/978-3-030-34413-9_4. 
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Kulaitis G, Munk A, Werner F. ​What is resolution? A statistical minimax testing perspective on super-resolution microscopy​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/43​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Kovács S, Li H, Bühlmann P, Munk A. ​Seeded Binary Segmentation: A general methodology for fast and optimal change point detection​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/195​
    ​Details  arXiv 
  • 2020 | Preprint
    ​ ​Behr M, Ansari MA, Munk A, Holmes C. ​Testing for dependence on tree structures​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/22 doi: https://doi.org/10.1101/622811​
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Pelizzola M, Behr M, Li H, Munk A, Futschik A. ​Multiple Haplotype Reconstruction from Allele Frequency Data​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/156 doi: https://doi.org/10.1101/2020.07.09.191924​
    ​Details  DOI 
  • 2020 | Preprint
    ​ ​Bartsch A, Ives CM, Kattner C, Pein F, Diehn M, Tanabe M, et al. ​An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/145 doi: https://doi.org/10.1101/2020.11.06.369579​
    ​Details  DOI 
  • 2020 | Book Chapter
    ​ ​Munk A, Proksch K, Li H, Werner F. ​Photonic Imaging with Statistical Guarantees: From Multiscale Testing to Multiscale Estimation​. ​In: Salditt T, Egner A, Luke DR​, editors. ​Nanoscale Photonic Imaging. Vol. 134. ​Cham: ​Springer International Publishing; ​2020. p. 283​-312​. ​doi:10.1007/978-3-030-34413-9_11. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Klatt M, Tameling C, Munk A. ​Empirical Regularized Optimal Transport: Statistical Theory and Applications​. ​​SIAM Journal on Mathematics of Data Science. ​2020;​2​(2):​​419​-443​. ​doi:10.1137/19M1278788. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Enikeeva F, Munk A, Pohlmann M, Werner F. ​Bump detection in the presence of dependency: Does it ease or does it load?​. ​​Bernoulli. ​2020;​26​(4):​​3280​-3310​. ​doi:10.3150/20-BEJ1226. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​del Alamo Ruiz M, Munk A. ​Total variation multiscale estimators for linear inverse problems​. ​​Information and Inference. ​2020;​9​(4):​​961​-986​. ​doi:10.1093/imaiai/iaaa001/5766645. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper
    ​ ​Li H, Munk A, Sieling H, Walther G. ​The essential histogram​. ​​Biometrika. ​2020;​107​(2):​​347​-364​. ​doi:10.1093/biomet/asz081. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Staudt T, Aspelmeier T, Laitenberger O, Geisler C, Egner A, Munk A. ​Statistical Molecule Counting in Super-Resolution Fluorescence Microscopy: Towards Quantitative Nanoscopy​. ​​Statistical Science. ​2020;​35​(1):​​92​-111​. ​doi:10.1214/19-STS753. 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​König C, Munk A, Werner F. ​Multidimensional multiscale scanning in exponential families: Limit theory and statistical consequences​. ​​The Annals of Statistics. ​2020;​48​(2). ​doi:10.1214/18-AOS1806. 
    ​Details  DOI 
  • 2020 | Journal Article | Research Paper | 
    ​ ​del Alamo M, Li H, Munk A, Werner F. ​Variational Multiscale Nonparametric Regression: Algorithms and Implementation​. ​​Algorithms. ​2020;​13​(11):​​296​. ​doi:10.3390/a13110296. 
    ​Details  DOI 
  • 2020 | Preprint | 
    ​ ​Pein F, Eltzner B, Munk A. ​Analysis of Patchclamp Recordings: Model-Free Multiscale Methods and Software​. ​​2020. Available from: https://mbexc.uni-goettingen.de/literature/publications/76​
    ​Details 
  • 2020 | Journal Article | Research Paper | 
    ​ ​Behr M, Ansari MA, Munk A, Holmes C. ​Testing for dependence on tree structures​. ​​Proceedings of the National Academy of Sciences of the United States of America. ​2020;​117​(18):​​9787​-9792​. ​doi:10.1073/pnas.1912957117. 
    ​Details  DOI  PMID  PMC 
  • 2019 | Preprint
    ​ ​Vanegas LJ, Behr M, Munk A. ​Multiscale quantile segmentation​. ​​2019. Available from: https://mbexc.uni-goettingen.de/literature/publications/157​
    ​Details  arXiv 
  • 2019 | Book Chapter
    ​ ​Schneider LF, Staudt T, Munk A. ​Posterior Consistency in the Binomial Model with Unknown Parameters: A Numerical Study​. ​In: Argiento R, Durante D, Wade S​, editors. ​Bayesian Statistics and New Generations. ​Cham: ​Springer; ​2019. p. 35​-42​. ​(Springer Proceedings in Mathematics & Statistics;296). doi:10.1007/978-3-030-30611-3_4. 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Diehn M, Munk A, Rudolf D. ​Maximum likelihood estimation in hidden Markov models with inhomogeneous noise​. ​​Probability and Statistics. ​2019;​23​:​​492​-523​. ​doi:10.1051/ps/2018017. 
    ​Details  DOI 
  • 2019 | Journal Article | Research Paper
    ​ ​Sommerfeld M, Schrieber J, Zemel Y, Munk A. ​Optimal Transport: Fast Probabilistic Approximation with Exact Solvers​. ​​Journal of Machine Learning Research. ​2019;​20​(105):​​1​-23​. ​
    ​Details 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Li H, Guo Q, Munk A. ​Multiscale Change-point Segmentation: Beyond Step Functions​. ​​Electronic Journal of Statistics. ​2019;​13​(2):​​3254​-3296​. ​doi:10.1214/19-EJS1608. 
    ​Details  DOI  arXiv 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Tameling C, Sommerfeld M, Munk A. ​Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications​. ​​The Annals of Applied Probability. ​2019;​29​(5):​​2744​-2781​. ​doi:10.1214/19-AAP1463. 
    ​Details  DOI  arXiv 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Bartsch A, Llabrés S, Pein F, Kattner C, Schön M, Diehn M, et al. ​High-resolution experimental and computational electrophysiology reveals weak β-lactam binding events in the porin PorB​. ​​Scientific Reports. ​2019;​9​(1). ​doi:10.1038/s41598-018-37066-9. 
    ​Details  DOI  PMID  PMC 
  • 2019 | Journal Article | Research Paper | 
    ​ ​Frahm L, Keller-Findeisen J, Alt P, Schnorrenberg S, del Álamo Ruiz M, Aspelmeier T, et al. ​Molecular contribution function in RESOLFT nanoscopy​. ​​Optics Express. ​2019;​27​(15):​​21956​. ​doi:10.1364/OE.27.021956. 
    ​Details  DOI  PMID  PMC 
  • 2018 | Preprint
    ​ ​Schmidt-Hieber J, Schneider LF, Staudt T, Krajina A, Aspelmeier T, Munk A. ​Posterior analysis of $ in the binomial $(n,p)$ problem with both parameters unknown -- with applications to quantitative nanoscopy​. ​​2018. Available from: https://mbexc.uni-goettingen.de/literature/publications/306​
    ​Details  arXiv 
  • 2018 | Preprint
    ​ ​del Álamo M, Li H, Munk A. ​Frame-constrained Total Variation Regularization for White Noise Regression​. ​​2018. Available from: https://mbexc.uni-goettingen.de/literature/publications/205​
    ​Details  arXiv 
  • 2018 | Journal Article
    ​ ​Pein F, Tecuapetla-Gomez I, Schutte OM, Steinem C, Munk A. ​Fully Automatic Multiresolution Idealization for Filtered Ion Channel Recordings: Flickering Event Detection​. ​​IEEE Transactions on NanoBioscience. ​2018;​17​(3):​​300​-320​. ​doi:10.1109/TNB.2018.2845126. 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article
    ​ ​Enikeeva F, Munk A, Werner F. ​Bump detection in heterogeneous Gaussian regression​. ​​Bernoulli. ​2018;​24​(2):​​1266​-1306​. ​doi:10.3150/16-BEJ899. 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Proksch K, Werner F, Munk A. ​Multiscale scanning in inverse problems​. ​​The Annals of Statistics. ​2018;​46​(6B):​​3569​-3602​. ​doi:10.1214/17-AOS1669. 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Behr M, Holmes C, Munk A. ​Multiscale Blind Source Separation​. ​​The Annals of Statistics. ​2018;​46​(2):​​711​-744​. ​doi:10.1214/17-AOS1565. 
    ​Details  DOI  arXiv 
  • 2018 | Journal Article | 
    ​ ​Grasmair M, Li H, Munk A. ​Variational multiscale nonparametric regression: Smooth functions​. ​​Annales de l´Institut Henri Poincaré. B, Probability and Statistics. ​2018;​54​(2):​​1058​-1097​. ​doi:10.1214/17-AIHP832. 
    ​Details  DOI  arXiv 
  • 2017 | Preprint
    ​ ​Behr M, Munk A. ​Minimax estimation in linear models with unknown finite alphabet design​. ​​2017. 
    ​Details  arXiv 
  • 2017 | Journal Article
    ​ ​Singer M, Krivobokova T, Munk A. ​Kernel Partial Least Squares for Stationary Data​. ​​Journal of Machine Learning Research. ​2017;​18​(123):​​1​-41​. ​
    ​Details  arXiv 
  • 2017 | Journal Article
    ​ ​Pein F, Sieling H, Munk A. ​Heterogeneous change point inference​. ​​Journal of the Royal Statistical Society. Series B, Statistical Methodology. ​2017;​79​(4):​​1207​-1227​. ​doi:10.1111/rssb.12202. 
    ​Details  DOI  arXiv 
  • 2017 | Journal Article
    ​ ​Behr M, Munk A. ​Identifiability for Blind Source Separation of Multiple Finite Alphabet Linear Mixtures​. ​​IEEE Transactions on Information Theory. ​2017;​63​(9):​​5506​-5517​. ​doi:10.1109/TIT.2017.2717586. 
    ​Details  DOI  arXiv 
  • 2017 | Journal Article
    ​ ​Sommerfeld M, Munk A. ​Inference for Empirical Wasserstein Distances on Finite Spaces​. ​​Journal of the Royal Statistical Society. Series B, Statistical Methodology. ​2017;​80​(1):​​219​-238​. ​doi:10.1111/rssb.12236. 
    ​Details  DOI  arXiv 
  • 2016 | Journal Article
    ​ ​Huckemann S, Kim, Kwang-Rae, Munk A, Rehfeldt F, Sommerfeld M, Weickert J, et al. ​The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation​. ​​Bernoulli. ​2016;​22​(4):​​2113​-2142​. ​doi:10.3150/15-BEJ722. 
    ​Details  DOI  WoS 
  • 2016 | Journal Article | Research Paper
    ​ ​Hartmann AK, Huckemann S, Dannemann J, Laitenberger O, Geisler C, Egner A, et al. ​Drift estimation in sparse sequential dynamic imaging, with application to nanoscale fluorescence microscopy​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2016;​78​(3):​​563​-587​. ​doi:10.1111/rssb.12128. 
    ​Details  DOI  WoS 
  • 2016 | Journal Article
    ​ ​Mütze T, Konietschke F, Munk A, Friede T. ​A studentized permutation test for three-arm trials in the ‘gold standard’ design​. ​​Statistics in Medicine. ​2016;​36​(6):​​883​-898​. ​doi:10.1002/sim.7176. 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Tecuapetla-Gómez I, Munk A. ​Autocovariance Estimation in Regression with a Discontinuous Signal and m-Dependent Errors: A Difference-Based Approach​. ​​Scandinavian Journal of Statistics. ​2016;​44​(2):​​346​-368​. ​doi:10.1111/sjos.12256. 
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  • 2016 | Journal Article | Research Paper
    ​ ​Singer M, Krivobokova T, Munk A, Groot BL. ​Partial least squares for dependent data​. ​​Biometrika. ​2016;​103​(2):​​351​-362​. ​doi:10.1093/biomet/asw010. 
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  • 2016 | Preprint
    ​ ​Li H, Munk A, Sieling H, Walther G. ​The Essential Histogram​. ​​2016. Available from: https://mbexc.uni-goettingen.de/literature/publications/446​
    ​Details  arXiv 
  • 2016 | Journal Article | Research Paper
    ​ ​Rippl T, Munk A, Sturm A. ​Limit laws of the empirical Wasserstein distance: Gaussian distributions​. ​​Journal of Multivariate Analysis. ​2016;​151​:​​90​-109​. ​doi:10.1016/j.jmva.2016.06.005. 
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  • 2016 | Journal Article | 
    ​ ​Li H, Munk A, Sieling H. ​FDR-control in multiscale change-point segmentation​. ​​Electronic Journal of Statistics. ​2016;​10​(1):​​918​-959​. ​doi:10.1214/16-EJS1131. 
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  • 2016 | Journal Article | Erratum | 
    ​ ​Hafi N, Grunwald M, van den Heuvel LS, Aspelmeier T, Chen, Jian-Hua, Zagrebelsky M, et al. ​Corrigendum: Fluorescence nanoscopy by polarization modulation and polarization angle narrowing​. ​​Nature Methods. ​2016;​13​(1):​​579​-584​. ​doi:10.1038/nmeth0116-101a. 
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  • 2016 | Journal Article | Letter Note
    ​ ​Hafi N, Grunwald M, van den Heuvel LS, Aspelmeier T, Steinem C, Korte M, et al. ​Reply to "Polarization modulation adds little additional information to super-resolution fluorescence microscopy"​. ​​Nature Methods. ​2016;​13​(1):​​8​-9​. ​doi:10.1038/nmeth.3721. 
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  • 2016 | Journal Article | Research Paper
    ​ ​Muetze T, Munk A, Friede T. ​Design and analysis of three-arm trials with negative binomially distributed endpoints​. ​​Statistics in Medicine. ​2016;​35​(4):​​505​-521​. ​doi:10.1002/sim.6738. 
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  • 2015 | Journal Article
    ​ ​Walla PJ, Hafi N, Matthias G, Jess LS, Aspelmeier T, Martha Z, et al. ​Fluorescence Nanoscopy by Polarization Modulation (SPoD) and Polarization Angle Narrowing (ExPAN)​. ​​Biophysical Journal. ​2015;​108​(2):​​7a​-8a​. ​doi:10.1016/j.bpj.2014.11.063. 
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  • 2015 | Journal Article
    ​ ​Bauer U, Munk A, Sieling H, Wardetzky M. ​Persistence Barcodes Versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals​. ​​Foundations of Computational Mathematics. ​2015;​17​(1):​​1​-33​. ​doi:10.1007/s10208-015-9281-9. 
    ​Details  DOI 
  • 2015 | Book Chapter
    ​ ​Sabel T, Schmidt-Hieber J, Munk A. ​Spot Volatility Estimation for High-Frequency Data: Adaptive Estimation in Practice​. ​In: Antoniadis A, Poggi, Jean-Michel, Brossat X​, editors. ​Modeling and Stochastic Learning for Forecasting in High Dimensions. ​Springer Nature; ​2015. p. 213​-241​. ​(Lecture Notes in Statistics - Proceedings; vol. 217). doi:10.1007/978-3-319-18732-7_12. 
    ​Details  DOI 
  • 2015 | Conference Paper
    ​ ​Peter P, Weickert J, Munk A, Krivobokova T, Li H. ​Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images​. ​In: Tai, Xue-Cheng​, editor. ​Energy minimization methods in computer vision and pattern recognition.​2015-01-13​ - 2015-01-16​; ​​Hong Kong, China. ​Cham: ​Springer; ​2015.  p. 263​-277​. ​(Lecture Notes in Computer Science​; vol. 8932). doi:10.1007/978-3-319-14612-6_20.
    ​Details  DOI 
  • 2015 | Conference Abstract
    ​ ​Walla PJ, Hafi N, Matthias G, Jess LS, Aspelmeier T, Martha Z, et al. ​Fluorescence Nanoscopy by Polarization Modulation (SPoD) and Polarization Angle Narrowing (ExPAN)​. ​​Baltimore, MD. ​Biophysical Journal. ​2015;​108​(2):7A​-8A​. ​
    ​Details  WoS 
  • 2015 | Journal Article | Research Paper
    ​ ​Tams B, Mihailescu P, Munk A. ​Security Considerations in Minutiae-Based Fuzzy Vaults​. ​​IEEE Transactions on Information Forensics and Security. ​2015;​10​(5):​​985​-998​. ​doi:10.1109/TIFS.2015.2392559. 
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  • 2015 | Journal Article
    ​ ​Aspelmeier T, Egner A, Munk A. ​Modern Statistical Challenges in High-Resolution Fluorescence Microscopy​. ​​Annual Review of Statistics and Its Application. ​2015;​2​:​​163​-202​. ​doi:10.1146/annurev-statistics-010814-020343. 
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  • 2015 | Journal Article | Letter Note | 
    ​ ​Munk A, Werner F. ​Discussion of "Hypotheses testing by convex optimization"​. ​​Electronic Journal of Statistics. ​2015;​9​(2):​​1720​-1722​. ​doi:10.1214/14-EJS980. 
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  • 2015 | Journal Article | Research Paper | 
    ​ ​Ta H, Keller J, Haltmeier M, Saka SK, Schmied J, Opazo F, et al. ​Mapping molecules in scanning far-field fluorescence nanoscopy​. ​​Nature Communications. ​2015;​6​. ​doi:10.1038/ncomms8977. 
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  • 2014 | Journal Article
    ​ ​Walla PJ, Hafi N, Grunwald M, Van den Heuvel L, Aspelmeier T, Zagrebelsky M, et al. ​Nanoscopy by Fluorescence Demodulation and Polarization Angle Narrowing​. ​​Biophysical Journal. ​2014;​106​(2):​​24a​. ​doi:10.1016/j.bpj.2013.11.186. 
    ​Details  DOI 
  • 2014 | Conference Abstract
    ​ ​Walla PJ, Hafi N, Grunwald M, van den Heuvel L, Timo A, Zagrebelsky M, et al. ​Nanoscopy by Fluorescence Demodulation and Polarization Angle Narrowing​. ​​San Francisco, CA. ​Biophysical Journal. ​2014;​106​(2)
    ​Details  WoS 
  • 2014 | Review
    ​ ​Frick K, Munk A, Sieling H. ​Multiscale change point inference​ [book review]. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2014;​76​(3):​​495​-580​. ​doi:10.1111/rssb.12047. 
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  • 2014 | Journal Article | Research Paper
    ​ ​Haltmeier M, Munk A. ​Extreme value analysis of empirical frame coefficients and implications for denoising by soft-thresholding​. ​​Applied and Computational Harmonic Analysis. ​2014;​36​(3):​​434​-460​. ​doi:10.1016/j.acha.2013.07.004. 
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  • 2014 | Journal Article | Research Paper | 
    ​ ​Greb F, Krivobokova T, Munk A, Cramon-Taubadel S. ​Regularized Bayesian Estimation of Generalized Threshold Regression Models​. ​​Bayesian Analysis. ​2014;​9​(1):​​171​-196​. ​doi:10.1214/13-BA850. 
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  • 2014 | Journal Article | 
    ​ ​Frick S, Hohage T, Munk A. ​Asymptotic laws for change point estimation in inverse regression​. ​​Statistica Sinica. ​2014;​24​(2):​​555​-575​. ​doi:10.5705/ss.2012.007. 
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  • 2014 | Journal Article | Research Paper
    ​ ​Hafi N, Grunwald M, van den Heuvel LS, Aspelmeier T, Chen, Jian-Hua, Zagrebelsky M, et al. ​Fluorescence nanoscopy by polarization modulation and polarization angle narrowing​. ​​Nature Methods. ​2014;​11​(5):​​579​-584​. ​doi:10.1038/NMETH.2919. 
    ​Details  DOI  PMID  PMC  WoS 
  • 2014 | Journal Article | Research Paper
    ​ ​Futschik A, Hotz T, Munk A, Sieling H. ​Multiscale DNA partitioning: statistical evidence for segments​. ​​Bioinformatics. ​2014;​30​(16):​​2255​-2262​. ​doi:10.1093/bioinformatics/btu180. 
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  • 2014 | Journal Article
    ​ ​Li H, Haltmeier M, Zhang S, Frahm J, Munk A. ​Aggregated Motion Estimation for Real-Time MRI Reconstruction​. ​​Magnetic Resonance in Medicine. ​2014;​72​(4):​​1039​-1048​. ​doi:10.1002/mrm.25020. 
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  • 2013 | Journal Article | Research Paper
    ​ ​Yalunin SV, Herink G, Solli DR, Krueger M, Hommelhoff P, Diehn M, et al. ​Field localization and rescattering in tip-enhanced photoemission​. ​​Annalen der Physik. ​2013;​525​(1-2):​​L12​-L18​. ​doi:10.1002/andp.201200224. 
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  • 2013 | Journal Article | Research Paper
    ​ ​Greb F, Cramon-Taubadel S, Krivobokova T, Munk A. ​The Estimation of Threshold Models in Price Transmission Analysis​. ​​American Journal of Agricultural Economics. ​2013;​95​(4):​​900​-916​. ​doi:10.1093/ajae/aat006. 
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  • 2013 | Journal Article | Research Paper | 
    ​ ​Schmidt-Hieber J, Munk A, Duembgen L. ​Multiscale Methods for Shape Constraints in Deconvolution: Confidence Statements for Qualitative Features​. ​​Annals of statistics. ​2013;​41​(3):​​1299​-1328​. ​doi:10.1214/13-AOS1089. 
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  • 2013 | Journal Article | Research Paper | 
    ​ ​Frick K, Marnitz P, Munk A. ​Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics​. ​​Journal of Mathematical Imaging and Vision. ​2013;​46​(3):​​370​-387​. ​doi:10.1007/s10851-012-0368-5. 
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  • 2013 | Journal Article | Research Paper
    ​ ​Kombrink K, Munk A, Friede T. ​Design and semiparametric analysis of non-inferiority trials with active and placebo control for censored time-to-event data​. ​​Statistics in Medicine. ​2013;​32​(18):​​3055​-3066​. ​doi:10.1002/sim.5769. 
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  • 2013 | Journal Article | Research Paper | 
    ​ ​Hotz T, Schütte OM, Sieling H, Polupanow T, Diederichsen U, Steinem C, et al. ​Idealizing Ion Channel Recordings by a Jump Segmentation Multiresolution Filter​. ​​IEEE Transactions on NanoBioscience. ​2013;​12​(4):​​376​-386​. ​doi:10.1109/TNB.2013.2284063. 
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  • 2012 | Journal Article | Research Paper
    ​ ​Frick K, Marnitz P, Munk A. ​Shape-constrained regularization by statistical multiresolution for inverse problems: asymptotic analysis​. ​​Inverse Problems. ​2012;​28​(6). ​doi:10.1088/0266-5611/28/6/065006. 
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  • 2012 | Journal Article | Research Paper
    ​ ​Hotz T, Marnitz P, Stichtenoth R, Davies L, Kabluchko Z, Munk A. ​Locally adaptive image denoising by a statistical multiresolution criterion​. ​​Computational Statistics & Data Analysis. ​2012;​56​(3):​​543​-558​. ​doi:10.1016/j.csda.2011.08.018. 
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  • 2012 | Journal Article | Research Paper | 
    ​ ​Hoffmann M, Munk A, Schmidt-Hieber J. ​Adaptive wavelet estimation of the diffusion coefficient under additive error measurements​. ​​Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. ​2012;​48​(4):​​1186​-1216​. ​doi:10.1214/11-AIHP472. 
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  • 2012 | Journal Article | Research Paper
    ​ ​Geisler C, Hotz T, Schönle A, Hell S, Munk A, Egner A. ​Drift estimation for single marker switching based imaging schemes​. ​​Optics Express. ​2012;​20​(7):​​7274​-7289​. ​doi:10.1364/OE.20.007274. 
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  • 2012 | Journal Article | Research Paper | 
    ​ ​Krivobokova T, Briones R, Hub JS, Munk A, Groot BL. ​Partial Least-Squares Functional Mode Analysis: Application to the Membrane Proteins AQP1, Aqy1, and CLC-ec1​. ​​Biophysical Journal. ​2012;​103​(4):​​786​-796​. ​doi:10.1016/j.bpj.2012.07.022. 
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  • 2011 | Conference Paper
    ​ ​Hotz T, Gottschlich C, Lorenz R, Bernhardt S, Hantschel M, Munk A. ​Statistical analyses of fingerprint growth​. ​In: Brömme A, Busch C​, editors. ​BIOSIG 2011 Proceedings - international conference of the biometrics special interest group.​08.09.2011​ - 09.09.2011​; ​​Darmstadt. ​Bonn: ​Gesellschaft für Informatik; ​2011.  p. 11​-20​. ​
    ​Details 
  • 2011 | Journal Article | Research Paper
    ​ ​Gottschlich C, Hotz T, Lorenz R, Bernhardt S, Hantschel M, Munk A. ​Modeling the Growth of Fingerprints Improves Matching for Adolescents​. ​​IEEE Transactions on Information Forensics and Security. ​2011;​6​(3):​​1165​-1169​. ​doi:10.1109/TIFS.2011.2143406. 
    ​Details  DOI  WoS 
  • 2011 | Journal Article | Research Paper | 
    ​ ​Munk A, Stockis, Jean-Pierre, Valeinis J, Giese G. ​Neyman smooth goodness-of-fit tests for the marginal distribution of dependent data​. ​​Annals of the Institute of Statistical Mathematics. ​2011;​63​(5):​​939​-959​. ​doi:10.1007/s10463-009-0260-2. 
    ​Details  DOI  WoS 
  • 2010 | Book Chapter
    ​ ​Munk A, Schmidt-Hieber J. ​Lower bounds for volatility estimation in microstructure noise models​. ​In: Berger JO, Cai TT, Johnstone IM​, editors. ​Borrowing Strength: Theory Powering Applications – A Festschrift for Lawrence D. Brown. ​Beachwood, Ohio, USA: ​Institute of Mathematical Statistics; ​2010. p. 43​-55​. ​doi:10.1214/10-IMSCOLL604. 
    ​Details  DOI 
  • 2010 | Book Chapter
    ​ ​Munk A, Pricop M. ​On the self-regularization property of the EM algorithm for Poisson inverse problems​. ​​Statistical Modelling and Regression Structures: Festschrift in Honour of Ludwig Fahrmeir. ​Physica-Verlag; ​2010. p. 431​-448​. ​doi:10.1007/978-3-7908-2413-1_23. 
    ​Details  DOI 
  • 2010 | Journal Article
    ​ ​Dannemann J, Munk A. ​Discussion on the paper by Cule, Samworth and Stewart​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2010;​72​(5):​​593​-595​. ​
    ​Details 
  • 2010 | Journal Article | Letter Note
    ​ ​Huckemann SF, Hotz T, Munk A. ​Intrinsic Shape Analysis: Geodesic PCA for Riemannian Manifolds Modulo Isometric Lie Group Actions Rejoinder​. ​​Statistica Sinica. ​2010;​20​(1):​​84​-100​. ​
    ​Details  WoS 
  • 2010 | Preprint
    ​ ​Huckemann S, Hotz T, Munk A. ​Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder preprint​. ​​2010. 
    ​Details 
  • 2010 | Journal Article
    ​ ​Hotz T, Huckemann S, Munk A, Gaffrey D, Sloboda B. ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​. ​​Journal of the Royal Statistical Society. Series C, Applied Statistics. ​2010;​59​:​​127​-143​. ​
    ​Details  WoS 
  • 2010 | Journal Article | Research Paper | 
    ​ ​Huckemann S, Kim PT, Koo, Ja-Yong, Munk A. ​Moebius deconvolution on the hyperbolic plane with application to impedance density estimation​. ​​Annals of statistics. ​2010;​38​(4):​​2465​-2498​. ​doi:10.1214/09-AOS783. 
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  • 2010 | Journal Article | 
    ​ ​Huckemann S, Hotz T, Munk A. ​Rejoinder - Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​. ​​Statistica Sinica. ​2010;​20​:​​84​-100​. ​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Huckemann S, Hotz T, Munk A. ​Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric lie group actions​. ​​Statistica Sinica. ​2010;​20​:​​1​-100​. ​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Cai T, Munk A, Schmidt-Hieber J. ​Sharp minimax estimation of the variance of Brownian motion corrupted with Gaussian noise​. ​​Statistica Sinica. ​2010;​20​:​​1011​-1024​. ​
    ​Details 
  • 2010 | Journal Article | 
    ​ ​Kabluchko Z, Munk A. ​Shao's theorem on the maximum of standardized random walk increments for multidimensional arrays​. ​​Probability and Statistics. ​2010;​13​:​​409​-416​. ​doi:10.1051/ps/2009011. 
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  • 2010 | Journal Article | Research Paper | 
    ​ ​Munk A, Schmidt-Hieber J. ​Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise​. ​​Electronic Journal of Statistics. ​2010;​4​:​​781​-821​. ​doi:10.1214/10-EJS568. 
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  • 2010 | Monograph | 
    ​ ​Munk A. ​Maß- und Integrationstheorie​. ​​Göttingen: ​Universitätsverlag Göttingen; ​2010. ​151 p. doi:10.17875/gup2010-517. 
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  • 2010 | Journal Article | Research Paper
    ​ ​Huckemann S, Hotz T, Munk A. ​Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes​. ​​IEEE Transactions on Pattern Analysis and Machine Intelligence. ​2010;​32​(4):​​593​-603​. ​doi:10.1109/TPAMI.2009.117. 
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  • 2009 | Journal Article
    ​ ​Balabdaoui F, Mielke M, Munk A. ​The likelihood ratio test for non-standard hypotheses near the boundary of the null – with application to the assessment of non-inferiority​. ​​Statistics & Risk Modeling. ​2009;​27​(1):​​75​-92​. ​doi:10.1524/stnd.2009.1022. 
    ​Details  DOI 
  • 2009 | Journal Article | Letter Note
    ​ ​Munk A, Krivobokova T. ​Comments on: Goodness-of-fit tests in mixed models​. ​​Test. ​2009;​18​(2):​​256​-259​. ​doi:10.1007/s11749-009-0152-z. 
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  • 2009 | Journal Article
    ​ ​Hotz T, Huckemann S, Munk A, Gaffrey D, Sloboda B. ​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​. ​​Journal of the Royal Statistical Society. Series C, Applied Statistics. ​2009;​59​(1):​​127​-143​. ​doi:10.1111/j.1467-9876.2009.683.x. 
    ​Details  DOI 
  • 2009 | Conference Paper
    ​ ​Gottschlich C, Munk A, Mihailescu P. ​Robust orientation field estimation in fingerprint images with broken ridge lines​. ​In: Zinterhof P​, editor. ​Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, 2009 : ISPA 2009.​2009-09-16​ - 2009-09-18​; ​​Salzburg. ​Piscataway: ​IEEE; ​2009.  p. 529​-533​. ​doi:10.1109/ispa.2009.5297684.
    ​Details  DOI 
  • 2009 | Preprint
    ​ ​Mielke M, Munk A. ​The assessment and planning of non-inferiority trials for retention of effect hypotheses - towards a general approach​. ​​2009. 
    ​Details  arXiv 
  • 2009 | Conference Paper
    ​ ​Mihăilescu P, Munk A, Tams B. ​The fuzzy vault for fingerprints is vulnerable to brute force attack​. ​In: Brömme A, Busch C, Hühnlein D​, editors. ​BIOSIG 2009: biometrics and electronic signatures.​17​ - 18​; ​​Darmstadt. ​Bonn: ​Gesellschaft für Informatik; ​2009.  p. 43​-54​. ​
    ​Details 
  • 2009 | Conference Paper
    ​ ​Bissantz N, Mair BA, Munk A. ​A statistical stopping rule for MLEM reconstructions in PET​. ​​IEEE Nuclear Science Symposium conference record, 2008.​2008-10-19​ - 2008-10-25​; ​​Dresden. ​2009.  p. 4198​-4200​. ​doi:10.1109/nssmic.2008.4774207.
    ​Details  DOI 
  • 2009 | Journal Article
    ​ ​Munk A, Schmidt-Hieber J. ​The Estimation of Different Scales in Microstructure Noise Models from a Nonparametric Regression Perspective​. ​​Oberwolfach Reports. ​2009;​6​(3):​​2210​-2212​. ​
    ​Details 
  • 2009 | Journal Article | Research Paper
    ​ ​Bissantz N, Claeskens G, Holzmann H, Munk A. ​Testing for lack of fit in inverse regression-with applications to biophotonic imaging​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2009;​71​:​​25​-48​. ​doi:10.1111/j.1467-9868.2008.00670.x. 
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  • 2009 | Conference Paper
    ​ ​Huckemann S, Munk A. ​Intrinsic two-way MANOVA for shape spaces​. ​​Proceedings of the ISI 2009. 57th Session of the ISI; ​2009-08-16​ - 2009-08-22​; ​​Durban, South Africa. ​2009. 
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  • 2009 | Journal Article | Research Paper
    ​ ​Gottschlich C, Mihailescu P, Munk A. ​Robust Orientation Field Estimation and Extrapolation Using Semilocal Line Sensors​. ​​IEEE Transactions on Information Forensics and Security. ​2009;​4​(4):​​802​-811​. ​doi:10.1109/TIFS.2009.2033219. 
    ​Details  DOI  WoS 
  • 2009 | Journal Article | Research Paper | 
    ​ ​Boysen L, Bruns S, Munk A. ​Jump estimation in inverse regression​. ​​Electronic Journal of Statistics. ​2009;​3​:​​1322​-1359​. ​doi:10.1214/08-EJS204. 
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  • 2009 | Journal Article | 
    ​ ​Bauer F, Hohage T, Munk A. ​Iteratively regularized Gauss-Newton method for nonlinear inverse problems with random noise​. ​​SIAM Journal on Numerical Analysis. ​2009;​47​(3):​​1827​-1846​. ​doi:10.1137/080721789. 
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  • 2009 | Journal Article | Research Paper | 
    ​ ​Boysen L, Kempe A, Liebscher V, Munk A, Wittich O. ​Consistencies and rates of convergence of jump penalized least squares estimators​. ​​Annals of statistics. ​2009;​37​(1):​​157​-183​. ​doi:10.1214/07-AOS558. 
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  • 2009 | Journal Article | Research Paper | 
    ​ ​Bissantz N, Duembgen L, Munk A, Stratma B. ​Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces​. ​​SIAM Journal on Optimization. ​2009;​19​(4):​​1828​-1845​. ​doi:10.1137/050639132. 
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  • 2008 | Conference Paper
    ​ ​Mihăilescu P, Mieloch K, Munk A. ​Fingerprint Classification using Entropy Sensitive Tracing​. ​​Progress in industrial mathematics at ECMI 2006.​2006​ - 2006​; ​​Leganés (Madrid), Spain. ​Berlin: ​Springer; ​2008.  p. 928​-932​. ​(Mathematics in Industry​; vol. 12). doi:10.1007/978-3-540-71992-2_163.
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  • 2008 | Conference Paper
    ​ ​Mieloch K, Munk A, Mihailescu P. ​Hierarchically linked extended features in fingerprints​. ​​Biometrics Symposium, 2008 : BSYM '08.​2008-09-23​ - 2008-09-25​; ​​Tampa, Florida. ​Piscataway, NJ: ​IEEE; ​2008.  p. 47​-52​. ​doi:10.1109/bsym.2008.4655522.
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  • 2008 | Preprint
    ​ ​Mielke M, Munk A, Schacht A. ​Technical Report on ”The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints”​. ​​2008. 
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  • 2008 | Journal Article | Research Paper
    ​ ​Munk A, Paige R, Pang J, Patrangenaru V, Ruymgaart F. ​The one- and multi-sample problem for functional data with application to projective shape analysis​. ​​Journal of Multivariate Analysis. ​2008;​99​(5):​​815​-833​. ​doi:10.1016/j.jmva.2007.04.007. 
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  • 2008 | Journal Article | Letter Note
    ​ ​Holzmann H, Munk A. ​On the nonidentifiability of population sizes - Reply​. ​​Biometrics. ​2008;​64​(3):​​979​-981​. ​doi:10.1111/j.1541-0420.2008.01079.x. 
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  • 2008 | Journal Article | Research Paper | 
    ​ ​Duembgen L, Igl, Bernd-Wolfgang, Munk A. ​P-values for classification​. ​​Electronic Journal of Statistics. ​2008;​2​:​​468​-493​. ​doi:10.1214/08-EJS245. 
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  • 2008 | Journal Article | Research Paper | 
    ​ ​Kabluchko Z, Munk A. ​Exact Convergence Rate for the Maximum of Standardized Gaussian Increments​. ​​Electronic Communications in Probability. ​2008;​13​(none):​​302​-310​. ​doi:10.1214/ECP.v13-1380. 
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  • 2008 | Journal Article | Research Paper
    ​ ​Huckemann S, Hotz T, Munk A. ​Global models for the orientation field of fingerprints: An approach based on quadratic differentials​. ​​IEEE Transactions on Pattern Analysis and Machine Intelligence. ​2008;​30​(9):​​1507​-1519​. ​doi:10.1109/TPAMI.2007.70826. 
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  • 2008 | Journal Article | Research Paper | 
    ​ ​Lakomek, Nils-Alexander, Walter KFA, Farès C, Lange OF, Groot BL, Grubmüller H, et al. ​Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics​. ​​Journal of Biomolecular NMR. ​2008;​41​(3):​​139​-155​. ​doi:10.1007/s10858-008-9244-4. 
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  • 2008 | Journal Article | Research Paper
    ​ ​Mielke M, Munk A, Schacht A. ​The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints​. ​​Statistics in Medicine. ​2008;​27​(25):​​5093​-5110​. ​doi:10.1002/sim.3348. 
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  • 2007 | Journal Article
    ​ ​Bauer F, Munk A. ​Optimal regularization for ill-posed problems in metric spaces​. ​​Journal of Inverse and Ill-posed Problems. ​2007;​15​(2):​​137​-148​. ​doi:10.1515/jiip.2007.007. 
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  • 2007 | Conference Paper
    ​ ​Bissantz N, Mair BA, Munk A. ​A multi-scale stopping criterion for MLEM reconstructions in PET​. ​​2006 IEEE Nuclear Science Symposium conference record.​2006-10-29​ - 2006-11-04​; ​​San Diego, Calif.. ​2007. doi:10.1109/nssmic.2006.353726.
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  • 2007 | Book Chapter
    ​ ​Boysen L, Liebscher V, Munk A, Wittich O. ​Scale space consistency of piecewise constant least squares estimators – another look at the regressogram​. ​​Asymptotics: Particles, Processes and Inverse Problems. ​Beachwood, Ohio: ​Institute of Mathematical Statistics; ​2007. p. 65​-84​. ​(Lecture notes-monograph series; vol. 55). doi:10.1214/074921707000000274. 
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  • 2007 | Journal Article
    ​ ​Bissantz N, Hohage T, Munk A, Ruymgaart F. ​Convergence rates of general regularization methods for statistical inverse problems and applications​. ​​SIAM Journal on Numerical Analysis. ​2007;​45​(6):​​2610​-2636​. ​doi:10.1137/060651884. 
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  • 2007 | Journal Article | Research Paper
    ​ ​Munk A, Mielke M, Freitag G, Skipka G. ​Testing noninferiority in three-armed clinical trials based on likelihood ratio statistics​. ​​Canadian journal of statistics. ​2007;​35​(3):​​413​-431​. ​doi:10.1002/cjs.5550350306. 
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  • 2007 | Journal Article | Research Paper
    ​ ​Freitag G, Czado C, Munk A. ​A nonparametric test for similarity of marginals - With applications to the assessment of population bioequivalence​. ​​Journal of Statistical Planning and Inference. ​2007;​137​(3):​​697​-711​. ​doi:10.1016/j.jspi.2006.06.003. 
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  • 2007 | Journal Article | Research Paper
    ​ ​Holzmann H, Bissantz N, Munk A. ​Density testing in a contaminated sample​. ​​Journal of Multivariate Analysis. ​2007;​98​(1):​​57​-75​. ​doi:10.1016/j.jmva.2005.09.010. 
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  • 2007 | Journal Article | Research Paper
    ​ ​Munk A, Neumeyer N, Scholz A. ​Non-parametric analysis of covariance - The case of inhomogeneous and heteroscedastic noise​. ​​Scandinavian Journal of Statistics. ​2007;​34​(3):​​511​-534​. ​doi:10.1111/j.1467-9469.2006.00535.x. 
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  • 2007 | Journal Article | Research Paper
    ​ ​Bissantz N, Dumbgen L, Holzmann H, Munk A. ​Non-parametric confidence bands in deconvolution density estimation​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2007;​69​:​​483​-506​. ​doi:10.1111/j.1467-9868.2007.599.x. 
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  • 2006 | Journal Article | Research Paper
    ​ ​Holzmann H, Munk A, Suster M, Zucchini W. ​Hidden Markov models for circular and linear-circular time series​. ​​Environmental and Ecological Statistics. ​2006;​13​(3):​​325​-347​. ​doi:10.1007/s10651-006-0015-7. 
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  • 2006 | Journal Article | Research Paper
    ​ ​Biedermann S, Nagel E, Munk A, Holzmann H, Steland A. ​Tests in a case-control design including relatives​. ​​Scandinavian Journal of Statistics. ​2006;​33​(4):​​621​-635​. ​doi:10.1111/j.1467-9469.2006.00500.x. 
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  • 2006 | Journal Article | Research Paper
    ​ ​Holzmann H, Munk A, Gneiting T. ​Identifiability of finite mixtures of elliptical distributions​. ​​Scandinavian Journal of Statistics. ​2006;​33​(4):​​753​-763​. ​doi:10.1111/j.1467-9469.2006.00505.x. 
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  • 2006 | Journal Article | Research Paper
    ​ ​Freitag G, Lange S, Munk A. ​Non-parametric assessment of non-inferiority with censored data​. ​​Statistics in Medicine. ​2006;​25​(7):​​1201​-1217​. ​doi:10.1002/sim.2444. 
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  • 2006 | Journal Article | Letter Note
    ​ ​Holzmann H, Munk A, Zucchini W. ​On identifiability in capture-recapture models​. ​​Biometrics. ​2006;​62​(3):​​934​-936​. ​doi:10.1111/j.1541-0420.2006.00637_1.x. 
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  • 2005 | Conference Paper
    ​ ​Mieloch K, Mihailescu P, Munk A. ​Dynamic threshold using polynomial surface regression with application to the binarization of fingerprints​. ​In: Jain AK, Ratha NK​, editors. ​Biometric technology for human identification II.​2005-03-28​ - 2005-04-01​; ​​Orlando, Florida. ​Bellingham, Wash.: ​SPIE; ​2005.  p. 94​-104​. ​(Proceedings of SPIE​; vol. 5779). doi:10.1117/12.603377.
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  • 2005 | Preprint
    ​ ​Freitag G, Munk A. ​Consistency of bootstrap procedures for the nonparametric assessment of noninferiority with random censorship​. ​​2005. 
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  • 2005 | Journal Article | Research Paper
    ​ ​Munk A, Bissantz N, Wagner T, Freitag G. ​On difference-based variance estimation in nonparametric regression when the covariate is high dimensional​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2005;​67​:​​19​-41​. ​doi:10.1111/j.1467-9868.2005.00486.x. 
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  • 2005 | Journal Article | Research Paper
    ​ ​Munk A, Skipka G, Stratma B. ​Testing general hypotheses under binomial sampling: the two sample case asymptotic theory and exact procedures​. ​​Computational Statistics & Data Analysis. ​2005;​49​(3):​​723​-739​. ​doi:10.1016/j.csda.2004.05.035. 
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  • 2005 | Journal Article | Research Paper
    ​ ​Bissantz N, Holzmann H, Munk A. ​Testing, parametric assumptions on band- or time-limited signals under noise​. ​​IEEE Transactions on Information Theory. ​2005;​51​(11):​​3796​-3805​. ​doi:10.1109/TIT.2005.856957. 
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  • 2005 | Journal Article | Research Paper
    ​ ​Freitag G, Munk A. ​On Hadamard differentiability in k-sample semiparametric models with applications to the assessment of structural relationships​. ​​Journal of Multivariate Analysis. ​2005;​94​(1):​​123​-158​. ​doi:10.1016/j.jmva.2004.03.006. 
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  • 2005 | Journal Article | Letter Note
    ​ ​Munk A, Trampisch HJ. ​Therapeutic equivalence - Clinical issues and statistical methodology in noninferiority trials​. ​​Biometrical Journal. ​2005;​47​(1):​​7​-9​. ​doi:10.1002/bimj.200410093. 
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  • 2004 | Journal Article
    ​ ​Munk A, Ruymgaart F. ​Discussion of "Wavelet deconvolution in a periodic setting' by I.M. Johnstone, G. Kerkyacharian, D. Picard and M. Raimondo​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​2004;​66​(3):​​642​-643​. ​
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  • 2004 | Journal Article
    ​ ​Holzmann H, Munk A, Stratma B. ​Identifiability of Finite Mixtures - with Applications to Circular Distributions​. ​​Sankhyā: The Indian Journal of Statistics. ​2004;​66​(3):​​440​-449​. ​
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  • 2004 | Journal Article
    ​ ​Bissantz N, Hohage T, Munk A. ​Consistency and rates of convergence of nonlinear Tikhonov regularization with random noise​. ​​Inverse Problems. ​2004;​20​(6):​​1773​-1789​. ​doi:10.1088/0266-5611/20/6/005. 
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  • 2004 | Journal Article | Research Paper
    ​ ​Skipka G, Munk A, Freitag G. ​Unconditional exact tests for the difference of binomial probabilities-contrasted and compared​. ​​Computational Statistics & Data Analysis. ​2004;​47​(4):​​757​-773​. ​doi:10.1016/j.csda.2003.11.013. 
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  • 2003 | Book Chapter
    ​ ​Freitag G, Munk A, Vogt M. ​Assessing structural relationships between distributions - a quantile process approach based on Mallows distance​. ​In: Akritas MG, politis d​, editors. ​Recent Advances and Trends in Nonparametric Statistics. ​Amsterdam: ​Elsevier B.V.; ​2003. p. 123​-137​. ​doi:10.1016/b978-044451378-6/50009-0. 
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  • 2003 | Book Chapter
    ​ ​Bissantz N, Munk A. ​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​. ​In: Feigelson E, Babu GJ​, editors. ​Statistical Challenges in Astronomy. ​New York: ​Springer Nature; ​2003. p. 399​-400​. ​doi:10.1007/0-387-21529-8_29. 
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  • 2003 | Journal Article
    ​ ​Freitag G, Munk A, Hoffmann K. ​Vergleich zweier Messmethoden mit einem Goldstandard am Beispiel der 20-MHz-Sonographie und der klinischen Palpation zur Dickenbestimmung von pigmentierten Tumoren der Haut​. ​​Ultraschall in der Medizin. ​2003;​24​(3):​​184​-189​. ​doi:10.1055/s-2003-40064. 
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  • 2003 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​Some methodological aspects of validation of models in nonparametric regression​. ​​Statistica Neerlandica. ​2003;​57​(2):​​207​-244​. ​doi:10.1111/1467-9574.00228. 
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  • 2003 | Journal Article | Research Paper
    ​ ​Bissantz N, Munk A, Scholz A. ​Parametric versus non-parametric modelling? Statistical evidence based on P-value curves​. ​​Monthly Notices of the Royal Astronomical Society. ​2003;​340​(4):​​1190​-1198​. ​doi:10.1046/j.1365-8711.2003.06377.x. 
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  • 2003 | Journal Article
    ​ ​Freitag G, Munk A, Hoffmann K. ​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​. ​​Ultraschall in der Medizin - European Journal of Ultrasound. ​2003;​24​(3):​​184​-189​. ​
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  • 2002 | Journal Article | Research Paper
    ​ ​Bissantz N, Munk A. ​A graphical selection method for parametric models in noisy inhomogeneous regression​. ​​Monthly Notices of the Royal Astronomical Society. ​2002;​336​(1):​​131​-138​. ​doi:10.1046/j.1365-8711.2002.05720.x. 
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  • 2002 | Journal Article | Research Paper
    ​ ​Derbort S, Dette H, Munk A. ​A test for additivity in nonparametric regression​. ​​Annals of the Institute of Statistical Mathematics. ​2002;​54​(1):​​60​-82​. ​doi:10.1023/A:1016113704805. 
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  • 2002 | Journal Article | Research Paper
    ​ ​Munk A. ​Testing the goodness of fit of parametric regression models with random Toeplitz forms​. ​​Scandinavian Journal of Statistics. ​2002;​29​(3):​​501​-533​. ​doi:10.1111/1467-9469.00303. 
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  • 2002 | Journal Article | Research Paper
    ​ ​Munk A, Ruymgaart F. ​Minimax Rates for Estimating the Variance and its Derivatives in Non–Parametric Regression​. ​​Australian & New Zealand Journal of Statistics. ​2002;​44​(4):​​479​-488​. ​doi:10.1111/1467-842X.00249. 
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  • 2001 | Conference Paper
    ​ ​Bissantz N, Munk A. ​New Statistical Goodness of Fit Techniques Applied to the Recovery of the Milky Way Near-IR Luminosity Density Distribution - the 'Wild Bootstrap' Approach​. ​In: Funes JG, Corsini EM​, editors. ​In Galaxy Disks and Disk Galaxies.Vol. 230. ​2001.  p. 51​-52​. ​(Astronomical Society of the Pacific Conference Series​
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  • 2001 | Journal Article | Letter Note
    ​ ​Munk A, Brunner E. ​Guest editors' note​. ​​DRUG INFORMATION JOURNAL. ​2001;​35​(3). ​
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  • 2001 | Journal Article | Research Paper
    ​ ​Bissantz N, Munk A. ​New statistical goodness of fit techniques in noisy inhomogeneous inverse problems - With application to the recovering of the luminosity distribution of the Milky Way​. ​​Astronomy & Astrophysics. ​2001;​376​(2):​​735​-744​. ​doi:10.1051/0004-6361:20010984. 
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  • 2001 | Conference Paper | Research Paper
    ​ ​Munk A. ​On a problem in pharmaceutical statistics and the iteration of a peculiar nonlinear operator in the upper complex halfplane​. ​​Nonlinear Analysis: Theory, Methods & Applications. 3rd World Congress of Nonlinear Analysts Catania; ​SICILY, ITALY. Vol. 47. ​Oxford: ​Pergamon-elsevier Science Ltd; ​2001.  p. 1513​-1523​. ​doi:10.1016/S0362-546X(01)00286-3.
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  • 2000 | Journal Article | Research Paper
    ​ ​Munk A. ​An unbiased test for the average equivalence problem - the small sample case​. ​​Journal of Statistical Planning and Inference. ​2000;​87​(1):​​69​-86​. ​doi:10.1016/S0378-3758(99)00174-3. 
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  • 2000 | Journal Article
    ​ ​Munk A. ​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​. ​​Test. ​2000;​9​:​​84​-88​. ​
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  • 2000 | Journal Article | Research Paper
    ​ ​Dette H, Munk A, Wagner T. ​Testing model assumptions in multivariate linear regression models​. ​​Journal of Nonparametric Statistics. ​2000;​12​(3):​​309​-342​. ​doi:10.1080/10485250008832811. 
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  • 2000 | Journal Article | Research Paper
    ​ ​Munk A, Hwang JTG, Brown LD. ​Testing average equivalence - Finding a compromise between theory and practice​. ​​Biometrical Journal. ​2000;​42​(5):​​531​-551​. ​doi:10.1002/1521-4036(200009)42:5<531::AID-BIMJ531>3.0.CO;2-6. 
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  • 2000 | Journal Article | Research Paper
    ​ ​Czado C, Munk A. ​Noncanonical links in generalized linear models - when is the effort justified?​. ​​Journal of Statistical Planning and Inference. ​2000;​87​(2):​​317​-345​. ​doi:10.1016/S0378-3758(99)00195-0. 
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  • 2000 | Journal Article | Research Paper
    ​ ​Munk A. ​Connections between average and individual bioequivalence​. ​​Statistics in Medicine. ​2000;​19​(20):​​2843​-2854​. ​doi:10.1002/1097-0258(20001030)19:20<2843::aid-sim549>3.0.co;2-a. 
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  • 1999 | Journal Article | Research Paper
    ​ ​Munk A. ​A note on unbiased testing for the equivalence problem - another christmas tree​. ​​Statistics & Probability Letters. ​1999;​41​(4):​​401​-406​. ​doi:10.1016/S0167-7152(98)00196-5. 
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  • 1999 | Journal Article | Research Paper
    ​ ​Munk A, Pfluger R. ​1-alpha equivariant confidence rules for convex alternatives are alpha/2-level tests - With applications to the multivariate assessment of bioequivalence​. ​​Journal of the American Statistical Association. ​1999;​94​(448):​​1311​-1319​. ​doi:10.2307/2669944. 
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  • 1999 | Journal Article | Research Paper
    ​ ​Munk A. ​Optimal inference for circular variation diminishing experiments with applications to the von-Mises distribution and the Fisher-Efron parabola model​. ​​Metrika. ​1999;​50​(1):​​1​-17​. ​doi:10.1007/s001840050032. 
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  • 1999 | Journal Article
    ​ ​Munk A, Pflüger R. ​1 - α Equivariant Confidence Rules for Convex Alternatives are α/2–Level Tests - With Applications to the Multivariate Assessment of Bioequivalence​. ​​Journal of the American Statistical Association. ​1999;​94​(448):​​1311​-1319​. ​doi:10.1080/01621459.1999.10473883. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​A simple goodness-of-fit test for linear models under a random design assumption​. ​​Annals of the Institute of Statistical Mathematics. ​1998;​50​(2):​​253​-275​. ​doi:10.1023/A:1003439114929. 
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  • 1998 | Book Chapter
    ​ ​Dette H, Munk A, Wagner T. ​A review of variance estimators with extensions to multivariate nonparametric regression models​. ​In: Gosh S​, editor. ​Multivariate Design and Sampling. ​New York: ​Dekker; ​1998. p. 469​-499​. ​
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  • 1998 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​Testing heteroscedasticity in nonparametric regression​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​1998;​60​:​​693​-708​. ​doi:10.1111/1467-9868.00149. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Munk A. ​Tchebycheff-experiments​. ​​Statistics. ​1998;​31​(4):​​289​-324​. ​doi:10.1080/02331889808802642. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Munk A, Czado C. ​Nonparametric validation of similar distributions and assessment of goodness of fit​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​1998;​60​:​​223​-241​. ​doi:10.1111/1467-9868.00121. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Dette H, Munk A, Wagner T. ​Estimating the variance in nonparametric regression - what is a reasonable choice?​. ​​Journal of the Royal Statistical Society: Series B (Statistical Methodology). ​1998;​60​:​​751​-764​. ​doi:10.1111/1467-9868.00152. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Czado C, Munk A. ​Assessing the similarity of distributions - Finite sample performance of the empirical Mallows distance​. ​​Journal of Statistical Computation and Simulation. ​1998;​60​(4):​​319​-346​. ​doi:10.1080/00949659808811895. 
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  • 1998 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​Validation of linear regression models​. ​​The Annals of Statistics. ​1998;​26​(2):​​778​-800​. ​doi:10.1214/aos/1028144860. 
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  • 1998 | Journal Article | Research Paper | 
    ​ ​Munk A, Dette H. ​Nonparametric comparison of several regression functions: Exact and asymptotic theory​. ​​Annals of statistics. ​1998;​26​(6):​​2339​-2368​. ​doi:10.1214/aos/1024691474. 
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  • 1997 | Journal Article | Research Paper
    ​ ​Brunner E, Dette H, Munk A. ​Box-type approximations in nonparametric factorial designs​. ​​Journal of the American Statistical Association. ​1997;​92​(440):​​1494​-1502​. ​doi:10.2307/2965420. 
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  • 1997 | Journal Article | Research Paper | 
    ​ ​Brown LD, Hwang JTG, Munk A. ​An unbiased test for the bioequivalence problem​. ​​Annals of statistics. ​1997;​25​(6):​​2345​-2367​. ​doi:10.1214/aos/1030741076. 
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  • 1997 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​Optimum allocation of treatments for Welch's test in equivalence assessment​. ​​Biometrics. ​1997;​53​(3):​​1143​-1150​. ​doi:10.2307/2533572. 
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  • 1996 | Journal Article | Research Paper
    ​ ​Munk A. ​Equivalence and interval testing for Lehmann's alternative​. ​​Journal of the American Statistical Association. ​1996;​91​(435):​​1187​-1196​. ​doi:10.2307/2291737. 
    ​Details  DOI  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Dette H, Munk A. ​Sign regularity of a generalized Cauchy kernel with applications​. ​​Journal of Statistical Planning and Inference. ​1996;​52​(2):​​131​-142​. ​doi:10.1016/0378-3758(95)00108-5. 
    ​Details  DOI  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Meyer M, Lehnart SE, Pieske B, Schlottauer K, Munk A, Holubarsch C, et al. ​Influence of endothelin 1 on human atrial myocardium - Myocardial function and subcellular pathways​. ​​Basic Research in Cardiology. ​1996;​91​(1):​​86​-93​. ​
    ​Details  PMID  PMC  WoS 
  • 1996 | Journal Article | Research Paper
    ​ ​Nida-Rümelin J, Schmidt T, Munk A. ​Interpersonal dependency of preferences​. ​​Theory and Decision. ​1996;​41​(3):​​257​-280​. ​doi:10.1007/BF00136128. 
    ​Details  DOI  WoS 
  • 1994 | Journal Article | Letter Note
    ​ ​Munk A. ​On a method of combining double t-test and Anderson-Hauck test. Reply.​. ​​Biometrics. ​1994;​50​(3):​​885​-886​. ​
    ​Details  WoS 
  • 1994 | Journal Article | Research Paper
    ​ ​DANNENBERG O, Dette H, Munk A. ​An extension of Welch’s approximative t-solution to comparative bioequivalence trials​. ​​Biometrika. ​1994;​81​(1):​​91​-101​. ​
    ​Details  WoS 
  • 1994 | Journal Article
    ​ ​Dannenberg O, Dette H, Munk A. ​An extension of Welch's approximate t-solution to comparative bioequivalence trials​. ​​Biometrika. ​1994;​81​(1):​​91​-101​. ​doi:10.1093/biomet/81.1.91. 
    ​Details  DOI 
  • 1993 | Journal Article
    ​ ​Munk A. ​An improvement on commonly used tests in bioequivalence assessment​. ​​Biometrics. ​1993;​49​(4):​​1225​-1230​. ​doi:10.2307/2532265. 
    ​Details  DOI  WoS 

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