Alain Hauser

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Methods for causal inference from gene perturbation experiments and validation

N. Meinshausen, Alain Hauser, J. Mooij, 2016, Proceedings of the National Academy of Sciences.

Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs

Alain Hauser, P. Bühlmann, 2013, 1303.3216.

High-dimensional consistency in score-based and hybrid structure learning

Alain Hauser, M. Maathuis, Preetam Nandy, 2015, The Annals of Statistics.

Causal inference from interventional data

Alain Hauser, 2013 .

Two Optimal Strategies for Active Learning of Causal Models from Interventions

Alain Hauser, P. Bühlmann, 2012, ArXiv.

Repeat or not repeat?—Statistical validation of tandem repeat prediction in genomic sequences

Alain Hauser, Andrey V. Kajava, Maria Anisimova, 2012, Nucleic acids research.

More Causal Inference with Graphical Models in R Package pcalg

Alain Hauser, M. Maathuis, M. Kalisch, 2014 .

Package 'pcalg' Title Methods for Graphical Models and Causal Inference

Alain Hauser, M. Kalisch, M. Maechler, 2015 .

Submitted to the Annals of Statistics HIGH-DIMENSIONAL CONSISTENCY IN SCORE-BASED AND HYBRID STRUCTURE LEARNING By

Alain Hauser, M. Maathuis, Preetam Nandy, 2017 .

Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs (Abstract) pdf

Peter Bühlmann, Alain Hauser, Alain Hauser, 2011, UAI.

Near-optimal experimental design for model selection in systems biology

Joachim M. Buhmann, Cheng Soon Ong, Mikael Sunnåker, 2013, Bioinform..

Two optimal strategies for active learning of causal models from interventional data

Peter Bühlmann, Alain Hauser, Alain Hauser, 2012, Int. J. Approx. Reason..

Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs

Alain Hauser, P. Bühlmann, 2011, J. Mach. Learn. Res..

Methods for causal inference from gene perturbation experiments and validation

N. Meinshausen, Alain Hauser, J. Peters, 2016, Proceedings of the National Academy of Sciences.

Understanding consistency in hybrid causal structure learning

Alain Hauser, M. Maathuis, Preetam Nandy, 2015 .