Invariant Theory for Maximum Likelihood Estimation
Speaker:
Anna Seigal, University of Oxford
Date and Time:
Wednesday, June 16, 2021 - 12:20pm to 1:00pm
Location:
Online
Abstract:
Maximum likelihood estimation is an optimization problem over a statistical model, to obtain the parameters that best fit observed data. I will focus on two settings: log-linear models and Gaussian group models. I will describe connections between maximum likelihood estimation and notions of stability from invariant theory. This talk is based on joint work with Carlos Améndola, Kathlén Kohn and Philipp Reichenbach.