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20182026
most citedCausal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models

31 citations · 60 across the 3 of their papers we have counts for

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stat.ME2020★ 29 cited

Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach

Ioan Gabriel Bucur, Tom Claassen, Tom Heskes

The use of genetic variants as instrumental variables - an approach known as Mendelian randomization - is a popular epidemiological method for estimating the causal effect of an ex…