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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...
Autores principales: | Bae, Harold, Monti, Stefano, Montano, Monty, Steinberg, Martin H., Perls, Thomas T., Sebastiani, Paola |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
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 |
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