68 citations · 287 across the 26 of their papers we have counts for
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stat.ME2021
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
Robert Hu, Dino Sejdinovic, Robin J. Evans
Causal inference grows increasingly complex as the number of confounders increases. Given treatments , confounders and outcomes , we develop a non-parametric method to te…
stat.ME2021
Parameterizing and Simulating from Causal Models
Robin J. Evans, Vanessa Didelez
Many statistical problems in causal inference involve a probability distribution other than the one from which data are actually observed; as an additional complication, the object…