CORDIS Project
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This project aims to improve causal inference from large datasets by addressing challenges related to identifying cause-effect relationships. It focuses on leveraging data from various experimental conditions to enhance predictions and develop new statistical methods for causal analysis in diverse fields, including gen…
Understanding cause-effect relationships between variables is of great interest in many fields of science.
However, causal inference from data is much more ambitious and difficult than inferring (undirected) measures of association such as correlations, partial correlations or multivariate regression coefficients, mainly because of fundamental identifiabilityproblems. A main objective of the proposal is to exploit advantages from large-scale heterogeneous data for causal inference where heteroge…
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
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