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Causal Learning From Predictive Modeling for Observational Data

We consider the problem of learning structured causal models from observational data. In this work, we use causal Bayesian networks to represent causal relationships among model variables. To this effect, we explore the use of two types of independencies—context-specific independence (CSI) and mutua...

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Detalles Bibliográficos
Autores principales: Ramanan, Nandini, Natarajan, Sriraam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931928/
https://www.ncbi.nlm.nih.gov/pubmed/33693412
http://dx.doi.org/10.3389/fdata.2020.535976