Articles with public access mandates - Axel MunkLearn more
Not available anywhere: 8
Field localization and rescattering in tip‐enhanced photoemission
SV Yalunin, G Herink, DR Solli, M Krüger, P Hommelhoff, M Diehn, ...
Annalen der Physik 525 (1-2), L12-L18, 2013
Mandates: German Research Foundation
Reply to" Polarization modulation adds little additional information to super-resolution fluorescence microscopy"
N Hafi, M Grunwald, LS Van Den Heuvel, T Aspelmeier, C Steinem, ...
Nature methods 13 (1), 8-9, 2016
Mandates: German Research Foundation
A statistical stopping rule for MLEM reconstructions in PET
N Bissantz, BA Mair, A Munk
2008 IEEE Nuclear Science Symposium Conference Record, 4198-4200, 2008
Mandates: US National Institutes of Health, German Research Foundation
Computational strategies for statistical inference based on empirical optimal transport
C Tameling, A Munk
2018 IEEE Data Science Workshop (DSW), 175-179, 2018
Mandates: German Research Foundation
Statistical methods for minimax estimation in linear models with unknown design over finite alphabets
M Behr, A Munk
SIAM Journal on Mathematics of Data Science 4 (2), 490-513, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Robust orientation field estimation in fingerprint images with broken ridge lines
C Gottschlich, A Munk, P Mihailescu
2009 Proceedings of 6th International Symposium on Image and Signal …, 2009
Mandates: German Research Foundation
A Minimax Testing Perspective on Spatial Statistical Resolution in Microscopy
G Kulaitis, A Munk, F Werner
Foundations of Modern Statistics, 483-508, 2019
Mandates: German Research Foundation
Statistical Recovery of Discrete, Geometric and Invariant Structures
P Bühlmann, A Munk, M Wainwright, B Yu
Oberwolfach Reports 14 (1), 949-999, 2018
Mandates: US National Science Foundation
Available somewhere: 119
Multiscale change point inference
K Frick, A Munk, H Sieling
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014
Mandates: Swiss National Science Foundation, German Research Foundation
Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric Lie group actions
S Huckemann, T Hotz, A Munk
Statistica Sinica, 1-58, 2010
Mandates: German Research Foundation
Convergence rates of general regularization methods for statistical inverse problems and applications
N Bissantz, T Hohage, A Munk, F Ruymgaart
SIAM Journal on Numerical Analysis 45 (6), 2610-2636, 2007
Mandates: German Research Foundation
Consistencies and rates of convergence of jump-penalized least squares estimators
L Boysen, A Kempe, V Liebscher, A Munk, O Wittich
Mandates: German Research Foundation
Fluorescence nanoscopy by polarization modulation and polarization angle narrowing
N Hafi, M Grunwald, LS Van Den Heuvel, T Aspelmeier, JH Chen, ...
Nature methods 11 (5), 579-584, 2014
Mandates: Swiss National Science Foundation, German Research Foundation
Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics
NA Lakomek, KFA Walter, C Farès, OF Lange, BL de Groot, H Grubmüller, ...
Journal of biomolecular NMR 41 (3), 139-155, 2008
Mandates: US National Institutes of Health, German Research Foundation
Hidden Markov models for circular and linear-circular time series
H Holzmann, A Munk, M Suster, W Zucchini
Environmental and Ecological Statistics 13, 325-347, 2006
Mandates: German Research Foundation
Identifiability of finite mixtures of elliptical distributions
H Holzmann, A Munk, T Gneiting
Scandinavian journal of statistics 33 (4), 753-763, 2006
Mandates: German Research Foundation
Global models for the orientation field of fingerprints: an approach based on quadratic differentials
S Huckemann, T Hotz, A Munk
IEEE transactions on pattern analysis and machine intelligence 30 (9), 1507-1519, 2008
Mandates: German Research Foundation
Non-parametric confidence bands in deconvolution density estimation
N Bissantz, L Dümbgen, H Holzmann, A Munk
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007
Mandates: German Research Foundation
Seeded binary segmentation: a general methodology for fast and optimal changepoint detection
S Kovács, P Bühlmann, H Li, A Munk
Biometrika 110 (1), 249-256, 2023
Mandates: German Research Foundation, European Commission
Heterogeneous change point inference
F Pein, H Sieling, A Munk
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Mandates: German Research Foundation
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