Graduate Computational Algebraic Geometry Seminar
Elizabeth Gross
UIC
The Maximum Likelihood Degree for a Random Effects Model
Abstract: The maximum likelihood degree (ML degree) of a statistical model is
the number of complex solutions to the likelihood equations for
generic data. ?We look at the analysis of variance model with random
effects and give an explicit formula for the ML degree of this
model.
Thursday September 23, 2010 at 10:00 AM in SEO 1227