Likelihood-based Inference for Exponential-Family Random Graph Models via Linear Programming

02/08/2022
by   Pavel N. Krivitsky, et al.
0

This article discusses the problem of determining whether a given point, or set of points, lies within the convex hull of another set of points in d dimensions. This problem arises naturally in a statistical context when using a particular approximation to the loglikelihood function for an exponential family model; in particular, we discuss the application to network models here. While the convex hull question may be solved via a simple linear program, this approach is not well known in the statistical literature. Furthermore, this article details several substantial improvements to the convex hull-testing algorithm currently implemented in the widely used 'ergm' package for network modeling.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset