Maximum likelihood estimation in Gaussian graphical models

Maximum likelihood estimation in Gaussian graphical models

Mar 17, 2010, 01:00 PM - 02:00 PM | 939 Evans Hall | Happening As Scheduled
Caroline Uhler, Department of Statistics, UC Berkeley (Speaker)
I will first explain the question of existence of maximum likelihood estimators in Gaussian graphical models using the language of convex algebraic geometry. Based on this framework, I will then present results on the existence of maximum likelihood estimators for the bipartite graph $K_{2,m}$.