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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 no: | Uncertain Artif Intell |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6935347/ https://ncbi.nlm.nih.gov/pubmed/31885520 |
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