Discussion: Latent variable graphical model selection via convex optimization

TL;DR

This paper discusses a convex optimization approach for selecting latent variable graphical models, providing insights into the methodology and implications for statistical modeling.

Contribution

It offers a detailed discussion on the convex optimization technique for latent variable graphical model selection, expanding on the original method and its applications.

Findings

Clarifies the convex optimization framework for latent variable models

Highlights advantages over traditional methods

Suggests potential for improved model selection accuracy

Abstract

Discussion of "Latent variable graphical model selection via convex optimization" by Venkat Chandrasekaran, Pablo A. Parrilo and Alan S. Willsky [arXiv:1008.1290].