CORDIS Project
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This project focuses on developing robust methods for causal discovery from observational data. By addressing issues related to data contamination, it aims to enhance the reliability of causal inference in various scientific fields.
RObust Causal DISCOveryDue to technological advances, the available amount of data has increased tremendously over the last decade.
The fields of data science, statistics, computer science and econometrics have followed this growth as they provide indispensable tools for translating data into insights and knowledge.
Where data science was traditionally concerned with learning associations in data, it has recently become clear that causal relations often provide a deeper understanding and a stron…
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