Markus Kalisch

According to our database1, Markus Kalisch authored at least 11 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2020
Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat., 2020

Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat., 2020

2017
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs.
J. Mach. Learn. Res., 2017

Interpreting and Using CPDAGs With Background Knowledge.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Assessing statistical significance in multivariable genome wide association analysis.
Bioinform., 2016

2015
A Complete Generalized Adjustment Criterion.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2011
Learning high-dimensional DAGs with latent and selection variables
CoRR, 2011

Learning high-dimensional DAGs with latent and selection variables (Abstract).
Proceedings of the UAI 2011, 2011

2008
Robustified L<sub>2</sub> boosting.
Comput. Stat. Data Anal., 2008

Annotating novel genes by integrating synthetic lethals and genomic information.
BMC Syst. Biol., 2008

2007
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm.
J. Mach. Learn. Res., 2007


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