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Bayesian Method for Causal Discovery of Latent-Variable Models from a Mixture of Experimental and Observational Data
This paper describes a Bayesian method for learning causal Bayesian networks through networks that contain latent variables from an arbitrary mixture of observational and experimental data. The paper presents Bayesian methods (including a new method) for learning the causal structure and parameters...
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| Publicado no: | Comput Stat Data Anal |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7441591/ https://ncbi.nlm.nih.gov/pubmed/32831439 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2012.01.010 |
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