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...
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Bae1,*, Stefano Monti2, , Monty Montano3, , Martin H. Steinberg2,, Thomas T.
Perls2, , and Paola
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...
Full Text:
Learning Bayesian Networks from
Correlated Data
Harold Bae1, Stefano Monti2, Monty Montano3, Martin H
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...