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Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
Thanks to technological advances leading to near-continuous time observations, emerging multivariate point process data offer new opportunities for causal discovery. However, a key obstacle in achieving this goal is that many relevant processes may not be observed in practice. Naïve estimation appro...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700240/ https://www.ncbi.nlm.nih.gov/pubmed/34945928 http://dx.doi.org/10.3390/e23121622 |