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...

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Detalles Bibliográficos
Autores principales: Wang, Xu, Shojaie, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700240/
https://www.ncbi.nlm.nih.gov/pubmed/34945928
http://dx.doi.org/10.3390/e23121622

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