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Causal Inference Under Interference And Network Uncertainty

Classical causal and statistical inference methods typically assume the observed data consists of independent realizations. However, in many applications this assumption is inappropriate due to a network of dependences between units in the data. Methods for estimating causal effects have been develo...

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Publicado en:Uncertain Artif Intell
Autores principales: Bhattacharya, Rohit, Malinsky, Daniel, Shpitser, Ilya
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6935347/
https://ncbi.nlm.nih.gov/pubmed/31885520
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