Harrison Zhou - Yale University
- Starts: 4:00 pm on Thursday, April 10, 2014
- Ends: 5:00 pm on Thursday, April 10, 2014
Title: Asymptotic Normality and Efficiency In Estimation of High-dimensional Graphical Models.
Abstract: In this talk we will first introduce an asymptotically normal and efficient result for estimation of high-dimensional Gaussian graphical model under a sparseness assumption, which is shown to be not only sufficient, but also necessary, then present some preliminary analogous results for Ising model.
- Location:
- MCS 148