linear-Gaussian models


A linear-Gaussian model is a Bayes net where all the variables are Gaussian, and each variable's mean is linear in the values of its parents. They are widely used because they support efficient inference. Linear dynamical systems are an important special case.


This concept has the prerequisites:

Core resources (we're sorry, we haven't finished tracking down resources for this concept yet)

Supplemental resources (the following are optional, but you may find them useful)


See also