Exactly, they are directed graphical models where the nodes have Gaussian distribution.
I’m learning to work with the framework yet, sorry, but I’m a beginner.
I would like to get the prediction of a Gaussian value.
I have a “directed graphical models” with this structure.
I´d like inference the Y1 node and get a value predict from test data set.
The inference will be done with “variational inference”
Where I can found a example about this?