Learning Bayesian Networks from Correlated Data

Bayesian networks are probabilistic models that represent complex distributions in a modular way and have become very popular in many fields. There are many methods to build Bayesian networks from a random sample of independent and identically distributed observations. However, many observational st...

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Detalles Bibliográficos
Autores principales: Bae, Harold, Monti, Stefano, Montano, Monty, Steinberg, Martin H., Perls, Thomas T., Sebastiani, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857179/
https://www.ncbi.nlm.nih.gov/pubmed/27146517
http://dx.doi.org/10.1038/srep25156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857179/
https://www.ncbi.nlm.nih.gov/pubmed/27146517
http://dx.doi.org/10.1038/srep25156

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