Publikationen von A. Munk

Sommerfeld, M.; Munk, A.: Inference for empirical Wasserstein distances on finite spaces. Journal of the Royal Statistical Society. Ser. B, Statistical Methodology 80 (1), S. 219 - 238 (2018)

Behr, M.; Munk, A.: Identifiability for blind source separation of multiple finite alphabet linear mixtures. IEEE Transactions on Information Theory 63 (9), S. 5506 - 5517 (2017)

Pein, F.; Sieling, H.; Munk, A.: Heterogeneous change point inference. Journal of the Royal Statistical Society. Series B, Statistical Methodology 79 (4), S. 1207 - 1227 (2017)

Tecuapetla-Gomez, I.; Munk, A.: Autocovariance estimation in regression with a discontinuous signal and m-dependent errors: A difference-based approach. Scandinavian Journal of Statistics 44 (2), S. 346 - 368 (2017)

Mütze, T.; Konietschke, F.; Munk, A.; Friede, T.: A studentized permutation test for three-arm trials in the 'gold standard' design. Statistics in Medicine 36 (6), S. 883 - 898 (2017)

Bauer, U.; Munk, A.; Sieling, H.; Wardetzky, M.: Persistence barcodes versus Kolmogorov signatures: Detecting modes of one-dimensional signals. Foundations of Computational Mathematics 17 (1), S. 1 - 33 (2017)

Huckemann, S.; Kim, K. R.; Munk, A.; Rehfeld, F.; Sommerfeld , M.; Weickert, J.; Wollnik, C.: The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation. Bernoulli 22 (4), S. 2113 - 2142 (2016)

Rippl, T.; Munk, A.; Sturm, A.: Limit laws of the empirical Wasserstein distance: Gaussian distributions. Journal of Multivariate Analysis 151, S. 90 - 109 (2016)

Hartmann, A.; Huckemann, S.; Dannemann, J.; Laitenberger, O.; Geisler, C.; Egner, A.; Munk, A.: Drift estimation in sparse sequential dynamic imaging, with application to nanoscale fluorescence microscopy. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 78 (3), S. 563 - 587 (2016)

Singer, M.; Krivobokova, T.; Munk, A.; De Groot, B. L.: Partial least squares for dependent data. Biometrika 103 (2), S. 351 - 362 (2016)

Mütze, T.; Munk, A.; Friede, T.: Design and analysis of three-arm trials with negative binomially distributed endpoints. Statistics in Medicine 35 (4), S. 505 - 521 (2016)

Hafi, N.; Grunwald, M.; van den Heuvel, L. S.; Aspelmeier, T.; Steinem, C.; Korte, M.; Munk, A.; Walla, P. J.: Reply to "Polarization modulation adds little additional information to super-resolution fluorescence microscopy". Nature Methods 13 (1), S. 8 - 9 (2016)

Li, H.; Munk, A.; Sieling, H.: FDR-control in multiscale change-point segmentation. Electronic Journal of Statistics 10 (1), S. 918 - 959 (2016)

Ta, H.; Keller, J.; Haltmeier, M.; Saka, S. K.; Schmied, J.; Opazo, F.; Tinnefeld, P.; Munk, A.; Hell, S. W.: Mapping molecules in scanning far-field fluorescence nanoscopy. Nature Communications 6, 7977 (2015)

Munk, A.; Werner, F.: Discussion of “Hypotheses testing by convex optimization”. Electronic Journal of Statistics 9 (2), S. 1720 - 1722 (2015)

Li, H.; Haltmeier, M.; Zhang, S.; Frahm, J.; Munk, A.: Aggregated motion estimation for image reconstruction in real-time MRI. Magnetic Resonance in Medicine 72 (4), S. 1039 - 1048 (2014)

Futschik, A.; Hotz, T.; Munk, A.; Sieling, H.: Multiscale DNA partitioning: Statistical evidence for segments. Bioinformatics 30 (16), S. 2255 - 2262 (2014)

Frick, K.; Munk, A.; Sieling, H.: Multiscale change point inference. Journal of the Royal Statistical Society: Series B, Statistical Methodology 76 (3), S. 495 - 580 (2014)

Hafi, N.; Grunwald, M.; van den Heuvel, L. S.; Aspelmeier, T.; Chen, J.; Zagrebelsky, M.; Schütte, O. M.; Steinem, C.; Korte, M.; Munk, A. et al.; Walla, P. J.: Fluorescence nanoscopy by polarization modulation and polarization angle narrowing. Nature Methods 11 (5), S. 579 - 584 (2014)

Haltmeier, M.; Munk, A.: Extreme value analysis of frame coefficients and implications for image denoising. Applied and Computational Harmonic Analysis 36 (3), S. 434 - 460 (2014)