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Causal Statistical Inference from High-Dimensional Data (CausalHighDim)

Date du début: 1 mars 2013, Date de fin: 28 févr. 2015,

"Statistical causal structure learning tackles the following problem: given iid observational data from a joint distribution, we estimate the underlying causal graph. This graph contains a directed arrow from each variable to its direct effects and is assumed to be acyclic. We propose to develop methods and mathematical theory for high-dimensional applications, where the number of variables is muc ...
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