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pro vyhledávání: '"Hauser, Alain"'
Main approaches for learning Bayesian networks can be classified as constraint-based, score-based or hybrid methods. Although high-dimensional consistency results are available for constraint-based methods like the PC algorithm, such results have not
Externí odkaz:
http://arxiv.org/abs/1507.02608
Autor:
Hauser, Alain, Bühlmann, Peter
In many applications we have both observational and (randomized) interventional data. We propose a Gaussian likelihood framework for joint modeling of such different data-types, based on global parameters consisting of a directed acyclic graph (DAG)
Externí odkaz:
http://arxiv.org/abs/1303.3216
Autor:
Hauser, Alain, Bühlmann, Peter
Publikováno v:
International Journal of Approximate Reasoning, Volume 55, Issue 4, June 2014, Pages 926-939
From observational data alone, a causal DAG is only identifiable up to Markov equivalence. Interventional data generally improves identifiability; however, the gain of an intervention strongly depends on the intervention target, that is, the interven
Externí odkaz:
http://arxiv.org/abs/1205.4174
Autor:
Hauser, Alain, Bühlmann, Peter
Publikováno v:
Journal of Machine Learning Research, 13:2409-2464, 2012
The investigation of directed acyclic graphs (DAGs) encoding the same Markov property, that is the same conditional independence relations of multivariate observational distributions, has a long tradition; many algorithms exist for model selection an
Externí odkaz:
http://arxiv.org/abs/1104.2808
Publikováno v:
The Annals of Statistics, 2018 Dec 01. 46(6A), 3151-3183.
Externí odkaz:
https://www.jstor.org/stable/26542900
Autor:
Meinshausen, Nicolai, Hauser, Alain, Mooij, Joris M., Peters, Jonas, Versteeg, Philip, Bühlmann, Peter
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2016 Jul 01. 113(27), 7361-7368.
Externí odkaz:
https://www.jstor.org/stable/26470692
Autor:
Hauser, Alain, Bühlmann, Peter
Publikováno v:
In International Journal of Approximate Reasoning June 2014 55(4):926-939
Autor:
Hauser, Alain, Bühlmann, Peter
Publikováno v:
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2015 Jan 01. 77(1), 291-318.
Externí odkaz:
http://www.jstor.org/stable/24774735
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