Publications
Publications:
- M. Behr and A. Munk, Identifiability for blind source separation of multiple finite alphabet linear mixtures, IEEE Transactions on Information Theory, 63(9):5506-5517 (2017)
- M. Behr, C. Holmes, and A. Munk, Multiscale blind source separation, The Annals of Statistics, 46(2):711–744 (2018)
- M. Behr, Finite Alphabet Blind Separation, PhD thesis, University of Göttingen (2018)
- M. Behr, M. Azim Ansari, A. Munk, C. Holmes, Testing for dependence on tree structures, Proceedings of the National Academy of Sciences (2020)
- L. Vanegas, M. Behr, and A. Munk, Multiscale Quantile Segmentation, to appear in the Journal of the American Statistical Association (2020) arXiv:1902.09321
Preprints:
- M. Behr *, K. Kumbier*, A. Cordova-Palomera, M. Aguirre, E. Ashley, A. J. Butte, R. Arnaout, B. Brown, J. Priest, B. Yu, Learning epistatic polygenic phenotypes with Boolean interactions, bioRxiv preprint
- M. Pelizzola*, M. Behr*, H. Li, A. Munk, and A. Futschik, Multiple Haplotype Reconstruction from Allele Frequency Datan, bioRxiv preprint
- M. Behr and A. Munk, Minimax estimation in linear models with unknown design over finite alphabets, arXiv:1711.04145
Software:
* joint first author