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Conference Paper

Probabilistic soft interventions in Conditional Gaussian networks

MPS-Authors

Markowetz,  Florian
Max Planck Society;

Grossmann,  Steffen
Max Planck Society;

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Spang,  Rainer
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Fulltext (public)

markowetz@aistats2005.pdf
(Any fulltext), 313KB

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Citation

Markowetz, F., Grossmann, S., & Spang, R. (2005). Probabilistic soft interventions in Conditional Gaussian networks. In Artificial Intelligence and Statistics (pp. 214-221). New Jersey, USA: Society for Artificial Intelligence and Statistics.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-8757-6
Abstract
We introduce a general concept of probabilistic interventions in Bayesian networks. This generalizes deterministic interventions, which fix nodes to certain states. We propose “pushing” variables in the direction of target states without fixing them. We formalize this idea in a Bayesian framework based on Conditional Gaussian networks.