A general method for causal effect estimation under unknown network dependence by combining structure learning and interference modeling, shown on synthetic datasets.
Ravikumar, Martin J
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Causal Inference Under Interference And Network Uncertainty
A general method for causal effect estimation under unknown network dependence by combining structure learning and interference modeling, shown on synthetic datasets.