CORDIS Project
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This project focuses on developing methods for statistical causal structure learning from observational data, particularly in high-dimensional settings. It aims to improve the identification of causal relationships in complex systems, such as biological data under varying conditions.
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 much larger than the number of samples.Independence-based methods like the PC algorithm can discover cau…
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
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