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Cause or effect? Looking beyond correlation

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International Centre for Mathematical Sciences (ICMS)

15 South College Street

Edinburgh

EH8 9AA

United Kingdom

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A public lecture by
Peter Bühlmann, ETH Zürich

Is it a cause or an effect? This simple but fundamental question is often asked in society and science. Searching for the causes for a certain disease and quantifying their effects on the disease status is a long-standing problem in medical studies. Considering correlations among measured variables is insufficient for distinguishing cause from effect. The classical and well-developed framework for causal inference is based on randomised studies; with the drawback that they are often very expensive or even impossible to do due to ethical reasons. Recent approaches try to ``substitute in part'' the randomised studies by models, algorithms and statistical techniques. Although thought-provoking, they can be particularly attractive in nowadays Big Data settings.

Doors open at 17:30. The talk will be followed by an informal reception to which all ticket holders are invited.

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International Centre for Mathematical Sciences (ICMS)

15 South College Street

Edinburgh

EH8 9AA

United Kingdom

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