Learning Bayesian Networks from Correlated Data.
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ABSTRACT:
SUBMITTER: Bae H
PROVIDER: S-EPMC4857179 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Publications
Learning Bayesian Networks from Correlated Data.
Bae Harold H Monti Stefano S Montano Monty M Steinberg Martin H MH Perls Thomas T TT Sebastiani Paola P
Scientific reports 20160505
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 studies are designed using some form of clustered sampling that introduces correlations between observations within the same cluster and ignoring this correlation typically inflates the rate of false po ...[more]
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