The Probabilistic PCA Model
The generative model for
factor analysis assumes that
the data was produced in three
stages:
Pick values independently
for some hidden factors
that can have any value
Linearly combine the
factors using a factor
loading matrix. Use more
linear combinations than
factors.
Add Gaussian noise that is
the same for each input.
j
i