This article presents a method for visualization of multivariate functions. The method is based on a tree structure--called the level set tree--built from separated parts of level sets of a function.

This paper proposes three methods for computing the exact likelihood function of multivariate moving average models. Each method utilizes the structure of the covariance matrix in a different way.