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Identification and Estimation Of Causal Effects from Dependent Data
The assumption that data samples are independent and identically distributed (iid) is standard in many areas of statistics and machine learning. Nevertheless, in some settings, such as social networks, infectious disease modeling, and reasoning with spatial and temporal data, this assumption is fals...
Gorde:
| Argitaratua izan da: | Adv Neural Inf Process Syst |
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| Egile Nagusiak: | , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6330046/ https://ncbi.nlm.nih.gov/pubmed/30643365 |
| Etiketak: |
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