KWIM: Invariant Theory for Maximum Likelihood Estimation
Time
Monday, 5. July 2021
15:15 - 16:45
Location
online
Organizer
Dr. Gabriela Michalek, Prof. Dr. Mateusz Michalek
Speaker:
PhD Anna Seigal (University of Oxford)
This event is part of an event series „Konstanz Women in Mathematics“.
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.