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...
| Main Authors: | , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Nature Publishing Group
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857179/ |