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Markus Kalisch
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2020 – today
- 2020
- [j7]Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann:
Hierarchical inference for genome-wide association studies: a view on methodology with software. Comput. Stat. 35(1): 1-40 (2020) - [j6]Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann:
Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software. Comput. Stat. 35(1): 59-67 (2020)
2010 – 2019
- 2017
- [j5]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs. J. Mach. Learn. Res. 18: 220:1-220:62 (2017) - [c3]Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis:
Interpreting and Using CPDAGs With Background Knowledge. UAI 2017 - 2016
- [j4]Laura Buzdugan, Markus Kalisch, Arcadi Navarro, Daniel Schunk, Ernst Fehr, Peter Bühlmann:
Assessing statistical significance in multivariable genome wide association analysis. Bioinform. 32(13): 1990-2000 (2016) - 2015
- [c2]Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis:
A Complete Generalized Adjustment Criterion. UAI 2015: 682-691 - 2011
- [c1]Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson:
Learning high-dimensional DAGs with latent and selection variables (Abstract). UAI 2011: 850 - [i1]Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson:
Learning high-dimensional DAGs with latent and selection variables. CoRR abs/1104.5617 (2011)
2000 – 2009
- 2008
- [j3]Daniel Schöner, Markus Kalisch, Christian Leisner, Lukas Meier, Marc Sohrmann, Mahamadou Faty, Yves Barral, Matthias Peter, Wilhelm Gruissem, Peter Bühlmann:
Annotating novel genes by integrating synthetic lethals and genomic information. BMC Syst. Biol. 2: 3 (2008) - [j2]Roman Werner Lutz, Markus Kalisch, Peter Bühlmann:
Robustified L2 boosting. Comput. Stat. Data Anal. 52(7): 3331-3341 (2008) - 2007
- [j1]Markus Kalisch, Peter Bühlmann:
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm. J. Mach. Learn. Res. 8: 613-636 (2007)
Coauthor Index
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