The Full Gaussian Model
The generative model for
factor analysis assumes that
the data was produced in three
stages:
Pick values independently
for some hidden factors
that have Gaussian priors
Linearly combine the
factors using a square
matrix.
There is no need to add
Gaussian noise because
we can already generate all
points in the dataspace.
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