















• 
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.

