- Li, H., Munk, A., Sieling, H., Walther, G. (2020).
The essential histogram arxiv:1612.07216 Biometrika, 107 (2), 347-364. - Pein, F., Sieling, H., Munk, A. (2017).
Heterogeneuous change point inference (R package: HSMUCE). arXiv:1505.04898 Journ. Royal. Statist. Soc. Ser. B, 79, 12071227. - Bauer, U., Munk, A., Sieling, H., Wardetzky, M. (2017).
Persistence barcodes versus Kolmogorov signatures: Detecting modes of one-dimensional signals. arXiv:1404.1214 Foundations of Computational Mathematics, 17, 1-33. - Li, H., Munk, A., Sieling, H. (2016).
FDR-control in multiscale change-point segmentation. Electron. J. Statist., 10, 918-959. - Futschik, A., Hotz, T., Munk, A., Sieling, H. (2014).
Multiscale DNA partitioning: statistical evidence for segments. Bioinformatics, doi: 10.1093/bioinformatics/btu180 (Preprint). - Frick, K., Munk, A., Sieling, H. (2014).
Multiscale Change-Point Inference (software "stepR" for multiscale change point analysis "SMUCE")
With discussion and rejoinder by the authors. Journ. Royal Statist. Society, Ser. B., 76, 495-580. arXiv:1301.7212 long version with full proofs. - Hotz,T., Schütte, O., Sieling, H., Polupanow, T., Diederichsen, U., Steinem, C., Munk, A. (2013).
Idealizing ion channel recordings by jump segmentation and statistical multiresolution analysis IEEE Trans. on NanoBioScience, 12, 376-386. (Preprint).
|