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Journal Articles
- 2020
[j6]Jonathan von Schroeder
, Thorsten Dickhaus:
Efficient calculation of the joint distribution of order statistics. Comput. Stat. Data Anal. 144: 106899 (2020)- 2019
- [j5]Thorsten Dickhaus, Natalia Sirotko-Sibirskaya:
Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap. Comput. Stat. Data Anal. 129: 30-46 (2019) - 2015
- [j4]Na Zhu, Verena Heinrich, Thorsten Dickhaus, Jochen Hecht, Peter N. Robinson, Stefan Mundlos, Tom Kamphans, Peter M. Krawitz:
Strategies to improve the performance of rare variant association studies by optimizing the selection of controls. Bioinform. 31(22): 3577-3583 (2015) - 2011
- [j3]Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller:
Large-scale EEG/MEG source localization with spatial flexibility. NeuroImage 54(2): 851-859 (2011) - [j2]Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller:
Introduction to machine learning for brain imaging. NeuroImage 56(2): 387-399 (2011) - 2010
- [j1]Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, Eva M. Hammer, Andrea Kübler, Klaus-Robert Müller, Gabriel Curio, Thorsten Dickhaus:
Neurophysiological predictor of SMR-based BCI performance. NeuroImage 51(4): 1303-1309 (2010)
Conference and Workshop Papers
- 2010
- [c1]Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan D. Rosenblatt, Marsel Scheer, Wiebke Werft:
µTOSS - Multiple hypothesis testing in an open software system. WAPA 2010: 12-19
Informal and Other Publications
- 2023
- [i1]Tom Schierenbeck, Vladimir Vutov, Thorsten Dickhaus, Michael Beetz:
Integrating Transformations in Probabilistic Circuits. CoRR abs/2310.04354 (2023)
Coauthor Index
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