- Series
- Algebra Seminar
- Time
- Monday, October 21, 2024 - 11:30am for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Julia Lindberg – UT Austin
- Organizer
- Changxin Ding
Density estimation for Gaussian mixture models is a classical problem in statistics that has applications in a variety of disciplines. Two solution techniques are commonly used for this problem: the method of moments and maximum likelihood estimation. This talk will discuss both methods by focusing on the underlying geometry of each problem.