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Hyper-parameter selection in Bayesian structural equation models

open access: yesHyper-parameter selection in Bayesian structural equation models
In the structural equation models, the maximum likelihood estimates of error variances can often turn out to be zero or negative. In order to overcome this problem, we take a Bayesian approach by specifying a prior distribution for variances of error variables.
openaire   +1 more source

Modeling of gene regulatory networks: an annotated glossary. [PDF]

open access: yesTrends Plant Sci
Singh Yadav A   +19 more
europepmc   +1 more source

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