The multi-variate Gaussian (16.3) can be thought of as one member
of a class of PDFs
where for Gaussian, and
For arbitrary , we have
For , the distribution tends to a flat-topped elliptical plate in -space
with sharp shoulders.
For , the distribution has higher tails. These non-Gaussian distributions may be useful
in some applicationw where tail behavior needs to be modified.