### Algebraic and combinatorial problems arising from maximum likelihood estimation using small datasets

- Series
- Algebra Seminar
- Time
- Monday, November 21, 2022 - 13:30 for 1 hour (actually 50 minutes)
- Location
- Clough 125 Classroom
- Speaker
- Daniel Irving Bernstein – Tulane University Department of Mathematics – dbernstein1@tulane.edu

Loosely speaking, the maximum likelihood threshold of a statistical model is the fewest number of data points needed to fit the model using maximum likelihood estimation. In this talk, I will discuss combinatorial and algebraic-geometric approaches to studying this poorly understood quantity for a certain class of Gaussian models. This is based on joint work with Sean Dewar, Steven Gortler, Tony Nixon, Meera Sitharam, and Louis Theran